SimpleITK
1.2.4
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Namespaces | |
detail | |
ioutils | |
nsstd | |
Classes | |
class | AbsImageFilter |
Computes the absolute value of each pixel. More... | |
class | AbsoluteValueDifferenceImageFilter |
Implements pixel-wise the computation of absolute value difference. More... | |
class | AcosImageFilter |
Computes the inverse cosine of each pixel. More... | |
class | AdaptiveHistogramEqualizationImageFilter |
Power Law Adaptive Histogram Equalization. More... | |
class | AddImageFilter |
Pixel-wise addition of two images. More... | |
class | AdditiveGaussianNoiseImageFilter |
Alter an image with additive Gaussian white noise. More... | |
class | AffineTransform |
An affine transformation about a fixed center with translation for a 2D or 3D coordinate. More... | |
class | AggregateLabelMapFilter |
Collapses all labels into the first label. More... | |
class | AndImageFilter |
Implements the AND bitwise operator pixel-wise between two images. More... | |
class | AntiAliasBinaryImageFilter |
A method for estimation of a surface from a binary volume. More... | |
class | ApproximateSignedDistanceMapImageFilter |
Create a map of the approximate signed distance from the boundaries of a binary image. More... | |
class | AsinImageFilter |
Computes the sine of each pixel. More... | |
class | Atan2ImageFilter |
Computes two argument inverse tangent. More... | |
class | AtanImageFilter |
Computes the one-argument inverse tangent of each pixel. More... | |
struct | BasicPixelID |
class | BilateralImageFilter |
Blurs an image while preserving edges. More... | |
class | BinaryClosingByReconstructionImageFilter |
binary closing by reconstruction of an image. More... | |
class | BinaryContourImageFilter |
Labels the pixels on the border of the objects in a binary image. More... | |
class | BinaryDilateImageFilter |
Fast binary dilation. More... | |
class | BinaryErodeImageFilter |
Fast binary erosion. More... | |
class | BinaryFillholeImageFilter |
Remove holes not connected to the boundary of the image. More... | |
class | BinaryGrindPeakImageFilter |
Remove the objects not connected to the boundary of the image. More... | |
class | BinaryImageToLabelMapFilter |
Label the connected components in a binary image and produce a collection of label objects. More... | |
class | BinaryMagnitudeImageFilter |
Computes the square root of the sum of squares of corresponding input pixels. More... | |
class | BinaryMedianImageFilter |
Applies a version of the median filter optimized for binary images. More... | |
class | BinaryMinMaxCurvatureFlowImageFilter |
Denoise a binary image using min/max curvature flow. More... | |
class | BinaryMorphologicalClosingImageFilter |
binary morphological closing of an image. More... | |
class | BinaryMorphologicalOpeningImageFilter |
binary morphological opening of an image. More... | |
class | BinaryNotImageFilter |
Implements the BinaryNot logical operator pixel-wise between two images. More... | |
class | BinaryOpeningByReconstructionImageFilter |
binary morphological closing of an image. More... | |
class | BinaryProjectionImageFilter |
Binary projection. More... | |
class | BinaryReconstructionByDilationImageFilter |
binary reconstruction by dilation of an image More... | |
class | BinaryReconstructionByErosionImageFilter |
binary reconstruction by erosion of an image More... | |
class | BinaryThinningImageFilter |
This filter computes one-pixel-wide edges of the input image. More... | |
class | BinaryThresholdImageFilter |
Binarize an input image by thresholding. More... | |
class | BinaryThresholdProjectionImageFilter |
BinaryThreshold projection. More... | |
class | BinomialBlurImageFilter |
Performs a separable blur on each dimension of an image. More... | |
class | BinShrinkImageFilter |
Reduce the size of an image by an integer factor in each dimension while performing averaging of an input neighborhood. More... | |
class | BitwiseNotImageFilter |
Implements pixel-wise generic operation on one image. More... | |
class | BlackTopHatImageFilter |
Black top hat extracts local minima that are smaller than the structuring element. More... | |
class | BoundedReciprocalImageFilter |
Computes 1/(1+x) for each pixel in the image. More... | |
class | BoxMeanImageFilter |
Implements a fast rectangular mean filter using the accumulator approach. More... | |
class | BoxSigmaImageFilter |
Implements a fast rectangular sigma filter using the accumulator approach. More... | |
class | BSplineDecompositionImageFilter |
Calculates the B-Spline coefficients of an image. Spline order may be from 0 to 5. More... | |
class | BSplineTransform |
A deformable transform over a bounded spatial domain using a BSpline representation for a 2D or 3D coordinate space. More... | |
class | BSplineTransformInitializerFilter |
BSplineTransformInitializerFilter is a helper class intended to initialize the control point grid such that it has a physically consistent definition. It sets the transform domain origin, physical dimensions and direction from information obtained from the image. It also sets the mesh size if asked to do so by calling SetTransformDomainMeshSize()before calling InitializeTransform(). More... | |
class | CannyEdgeDetectionImageFilter |
This filter is an implementation of a Canny edge detector for scalar-valued images. More... | |
class | CastImageFilter |
A hybrid cast image filter to convert images to other types of images. More... | |
class | CenteredTransformInitializerFilter |
CenteredTransformInitializerFilter is a helper class intended to initialize the center of rotation and the translation of Transforms having the center of rotation among their parameters. More... | |
class | CenteredVersorTransformInitializerFilter |
CenteredVersorTransformInitializerFilter is a helper class intended to initialize the center of rotation, versor, and translation of the VersorRigid3DTransform. More... | |
class | ChangeLabelImageFilter |
Change Sets of Labels. More... | |
class | ChangeLabelLabelMapFilter |
Replace the label Ids of selected LabelObjects with new label Ids. More... | |
class | CheckerBoardImageFilter |
Combines two images in a checkerboard pattern. More... | |
class | ClampImageFilter |
Casts input pixels to output pixel type and clamps the output pixel values to a specified range. More... | |
class | ClosingByReconstructionImageFilter |
Closing by reconstruction of an image. More... | |
class | CollidingFrontsImageFilter |
Selects a region of space where two independent fronts run towards each other. More... | |
class | Command |
An implementation of the Command design pattern for callback. More... | |
class | ComplexToImaginaryImageFilter |
Computes pixel-wise the imaginary part of a complex image. More... | |
class | ComplexToModulusImageFilter |
Computes pixel-wise the Modulus of a complex image. More... | |
class | ComplexToPhaseImageFilter |
Computes pixel-wise the modulus of a complex image. More... | |
class | ComplexToRealImageFilter |
Computes pixel-wise the real(x) part of a complex image. More... | |
class | ComposeImageFilter |
ComposeImageFilter combine several scalar images into a multicomponent image. More... | |
struct | Conditional |
struct | ConditionalValue |
class | ConfidenceConnectedImageFilter |
Segment pixels with similar statistics using connectivity. More... | |
class | ConnectedComponentImageFilter |
Label the objects in a binary image. More... | |
class | ConnectedThresholdImageFilter |
Label pixels that are connected to a seed and lie within a range of values. More... | |
class | ConstantPadImageFilter |
Increase the image size by padding with a constant value. More... | |
class | ConvolutionImageFilter |
Convolve a given image with an arbitrary image kernel. More... | |
class | CosImageFilter |
Computes the cosine of each pixel. More... | |
class | CropImageFilter |
Decrease the image size by cropping the image by an itk::Size at both the upper and lower bounds of the largest possible region. More... | |
class | CurvatureAnisotropicDiffusionImageFilter |
class | CurvatureFlowImageFilter |
Denoise an image using curvature driven flow. More... | |
class | CyclicShiftImageFilter |
Perform a cyclic spatial shift of image intensities on the image grid. More... | |
class | DanielssonDistanceMapImageFilter |
This filter computes the distance map of the input image as an approximation with pixel accuracy to the Euclidean distance. More... | |
class | DemonsRegistrationFilter |
Deformably register two images using the demons algorithm. More... | |
class | DerivativeImageFilter |
Computes the directional derivative of an image. The directional derivative at each pixel location is computed by convolution with a derivative operator of user-specified order. More... | |
class | DiffeomorphicDemonsRegistrationFilter |
Deformably register two images using a diffeomorphic demons algorithm. More... | |
class | DilateObjectMorphologyImageFilter |
dilation of an object in an image More... | |
struct | DisableIf |
class | DiscreteGaussianDerivativeImageFilter |
Calculates image derivatives using discrete derivative gaussian kernels. This filter calculates Gaussian derivative by separable convolution of an image and a discrete Gaussian derivative operator (kernel). More... | |
class | DiscreteGaussianImageFilter |
Blurs an image by separable convolution with discrete gaussian kernels. This filter performs Gaussian blurring by separable convolution of an image and a discrete Gaussian operator (kernel). More... | |
class | DisplacementFieldJacobianDeterminantFilter |
Computes a scalar image from a vector image (e.g., deformation field) input, where each output scalar at each pixel is the Jacobian determinant of the vector field at that location. This calculation is correct in the case where the vector image is a "displacement" from the current location. The computation for the jacobian determinant is: det[ dT/dx ] = det[ I + du/dx ]. More... | |
class | DisplacementFieldTransform |
A dense deformable transform over a bounded spatial domain for 2D or 3D coordinates space. More... | |
class | DivideFloorImageFilter |
Implements pixel-wise generic operation of two images, or of an image and a constant. More... | |
class | DivideImageFilter |
Pixel-wise division of two images. More... | |
class | DivideRealImageFilter |
Implements pixel-wise generic operation of two images, or of an image and a constant. More... | |
class | DoubleThresholdImageFilter |
Binarize an input image using double thresholding. More... | |
class | EdgePotentialImageFilter |
Computes the edge potential of an image from the image gradient. More... | |
struct | EnableIf |
class | EqualImageFilter |
Implements pixel-wise generic operation of two images, or of an image and a constant. More... | |
class | ErodeObjectMorphologyImageFilter |
Erosion of an object in an image. More... | |
class | Euler2DTransform |
A rigid 2D transform with rotation in radians around a fixed center with translation. More... | |
class | Euler3DTransform |
A rigid 3D transform with rotation in radians around a fixed center with translation. More... | |
class | ExpandImageFilter |
Expand the size of an image by an integer factor in each dimension. More... | |
class | ExpImageFilter |
Computes the exponential function of each pixel. More... | |
class | ExpNegativeImageFilter |
Computes the function exp(-K.x) for each input pixel. More... | |
class | ExtractImageFilter |
Decrease the image size by cropping the image to the selected region bounds. More... | |
class | FastApproximateRankImageFilter |
A separable rank filter. More... | |
class | FastMarchingBaseImageFilter |
Apply the Fast Marching method to solve an Eikonal equation on an image. More... | |
class | FastMarchingImageFilter |
Solve an Eikonal equation using Fast Marching. More... | |
class | FastMarchingUpwindGradientImageFilter |
Generates the upwind gradient field of fast marching arrival times. More... | |
class | FastSymmetricForcesDemonsRegistrationFilter |
Deformably register two images using a symmetric forces demons algorithm. More... | |
class | FFTConvolutionImageFilter |
Convolve a given image with an arbitrary image kernel using multiplication in the Fourier domain. More... | |
class | FFTNormalizedCorrelationImageFilter |
Calculate normalized cross correlation using FFTs. More... | |
class | FFTPadImageFilter |
Pad an image to make it suitable for an FFT transformation. More... | |
class | FFTShiftImageFilter |
Shift the zero-frequency components of a Fourier transform to the center of the image. More... | |
class | FlipImageFilter |
Flips an image across user specified axes. More... | |
class | ForwardFFTImageFilter |
Base class for forward Fast Fourier Transform . More... | |
class | FunctionCommand |
A Command class which allows setting an external function, or member function. More... | |
class | GaborImageSource |
Generate an n-dimensional image of a Gabor filter. More... | |
class | GaussianImageSource |
Generate an n-dimensional image of a Gaussian. More... | |
class | GenericException |
The base SimpleITK exception class. More... | |
class | GeodesicActiveContourLevelSetImageFilter |
Segments structures in images based on a user supplied edge potential map. More... | |
class | GradientAnisotropicDiffusionImageFilter |
class | GradientImageFilter |
Computes the gradient of an image using directional derivatives. More... | |
class | GradientMagnitudeImageFilter |
Computes the gradient magnitude of an image region at each pixel. More... | |
class | GradientMagnitudeRecursiveGaussianImageFilter |
Computes the Magnitude of the Gradient of an image by convolution with the first derivative of a Gaussian. More... | |
class | GradientRecursiveGaussianImageFilter |
Computes the gradient of an image by convolution with the first derivative of a Gaussian. More... | |
class | GrayscaleConnectedClosingImageFilter |
Enhance pixels associated with a dark object (identified by a seed pixel) where the dark object is surrounded by a brigher object. More... | |
class | GrayscaleConnectedOpeningImageFilter |
Enhance pixels associated with a bright object (identified by a seed pixel) where the bright object is surrounded by a darker object. More... | |
class | GrayscaleDilateImageFilter |
Grayscale dilation of an image. More... | |
class | GrayscaleErodeImageFilter |
Grayscale erosion of an image. More... | |
class | GrayscaleFillholeImageFilter |
Remove local minima not connected to the boundary of the image. More... | |
class | GrayscaleGeodesicDilateImageFilter |
geodesic gray scale dilation of an image More... | |
class | GrayscaleGeodesicErodeImageFilter |
geodesic gray scale erosion of an image More... | |
class | GrayscaleGrindPeakImageFilter |
Remove local maxima not connected to the boundary of the image. More... | |
class | GrayscaleMorphologicalClosingImageFilter |
gray scale dilation of an image More... | |
class | GrayscaleMorphologicalOpeningImageFilter |
gray scale dilation of an image More... | |
class | GreaterEqualImageFilter |
Implements pixel-wise generic operation of two images, or of an image and a constant. More... | |
class | GreaterImageFilter |
Implements pixel-wise generic operation of two images, or of an image and a constant. More... | |
class | GridImageSource |
Generate an n-dimensional image of a grid. More... | |
class | HalfHermitianToRealInverseFFTImageFilter |
Base class for specialized complex-to-real inverse Fast Fourier Transform . More... | |
class | HashImageFilter |
Compute the sha1 or md5 hash of an image. More... | |
class | HausdorffDistanceImageFilter |
Computes the Hausdorff distance between the set of non-zero pixels of two images. More... | |
class | HConcaveImageFilter |
Identify local minima whose depth below the baseline is greater than h. More... | |
class | HConvexImageFilter |
Identify local maxima whose height above the baseline is greater than h. More... | |
class | HistogramMatchingImageFilter |
Normalize the grayscale values between two images by histogram matching. More... | |
class | HMaximaImageFilter |
Suppress local maxima whose height above the baseline is less than h. More... | |
class | HMinimaImageFilter |
Suppress local minima whose depth below the baseline is less than h. More... | |
class | HuangThresholdImageFilter |
Threshold an image using the Huang Threshold. More... | |
class | Image |
The Image class for SimpleITK. More... | |
class | ImageFileReader |
Read an image file and return a SimpleITK Image. More... | |
class | ImageFileWriter |
Write out a SimpleITK image to the specified file location. More... | |
class | ImageFilter |
The base interface for SimpleITK filters that take one input image. More... | |
class | ImageReaderBase |
An abract base class for image readers. More... | |
class | ImageRegistrationMethod |
An interface method to the modular ITKv4 registration framework. More... | |
class | ImageSeriesReader |
Read series of image files into a SimpleITK image. More... | |
class | ImageSeriesWriter |
Writer series of image from a SimpleITK image. More... | |
struct | ImageTypeToPixelID |
struct | ImageTypeToPixelID< itk::Image< TPixelType, VImageDimension > > |
struct | ImageTypeToPixelID< itk::LabelMap< itk::LabelObject< TLabelType, VImageDimension > > > |
struct | ImageTypeToPixelID< itk::VectorImage< TPixelType, VImageDimension > > |
struct | ImageTypeToPixelIDValue |
struct | ImageTypeToPixelIDValue< itk::ImageBase< VImageDimension > > |
class | ImageViewer |
Display an image in an external viewer (Fiji by default) More... | |
class | ImportImageFilter |
Compose a 2D or 3D image and return a smart pointer to a SimpleITK image. More... | |
class | IntensityWindowingImageFilter |
Applies a linear transformation to the intensity levels of the input Image that are inside a user-defined interval. Values below this interval are mapped to a constant. Values over the interval are mapped to another constant. More... | |
class | IntermodesThresholdImageFilter |
Threshold an image using the Intermodes Threshold. More... | |
class | InverseDeconvolutionImageFilter |
The direct linear inverse deconvolution filter. More... | |
class | InverseDisplacementFieldImageFilter |
Computes the inverse of a displacement field. More... | |
class | InverseFFTImageFilter |
Base class for inverse Fast Fourier Transform . More... | |
class | InvertDisplacementFieldImageFilter |
Iteratively estimate the inverse field of a displacement field. More... | |
class | InvertIntensityImageFilter |
Invert the intensity of an image. More... | |
struct | IsBasic |
struct | IsBasic< BasicPixelID< TPixelType > > |
struct | IsBasic< itk::Image< TPixelType, VImageDimension > > |
struct | IsInstantiated |
struct | IsInstantiated< itk::Image< TPixelType, VImageDimension >, 0 > |
struct | IsInstantiated< itk::LabelMap< itk::LabelObject< TLabelType, VImageDimension > >, 0 > |
struct | IsInstantiated< itk::VectorImage< TPixelType, VImageDimension >, 0 > |
struct | IsLabel |
struct | IsLabel< itk::LabelMap< itk::LabelObject< TLabelType, VImageDimension > > > |
struct | IsLabel< LabelPixelID< TPixelType > > |
class | IsoContourDistanceImageFilter |
Compute an approximate distance from an interpolated isocontour to the close grid points. More... | |
class | IsoDataThresholdImageFilter |
Threshold an image using the IsoData Threshold. More... | |
class | IsolatedConnectedImageFilter |
Label pixels that are connected to one set of seeds but not another. More... | |
class | IsolatedWatershedImageFilter |
Isolate watershed basins using two seeds. More... | |
struct | IsVector |
struct | IsVector< itk::VectorImage< TPixelType, VImageDimension > > |
struct | IsVector< VectorPixelID< TPixelType > > |
class | IterativeInverseDisplacementFieldImageFilter |
Computes the inverse of a displacement field. More... | |
class | JoinSeriesImageFilter |
Join N-D images into an (N+1)-D image. More... | |
class | KittlerIllingworthThresholdImageFilter |
Threshold an image using the KittlerIllingworth Threshold. More... | |
class | LabelContourImageFilter |
Labels the pixels on the border of the objects in a labeled image. More... | |
class | LabelImageToLabelMapFilter |
convert a labeled image to a label collection image More... | |
class | LabelIntensityStatisticsImageFilter |
a convenient class to convert a label image to a label map and valuate the statistics attributes at once More... | |
class | LabelMapContourOverlayImageFilter |
Apply a colormap to the contours (outlines) of each object in a label map and superimpose it on top of the feature image. More... | |
class | LabelMapMaskImageFilter |
Mask and image with a LabelMap . More... | |
class | LabelMapOverlayImageFilter |
Apply a colormap to a label map and superimpose it on an image. More... | |
class | LabelMapToBinaryImageFilter |
Convert a LabelMap to a binary image. More... | |
class | LabelMapToLabelImageFilter |
Converts a LabelMap to a labeled image. More... | |
class | LabelMapToRGBImageFilter |
Convert a LabelMap to a colored image. More... | |
class | LabelOverlapMeasuresImageFilter |
Computes overlap measures between the set same set of labels of pixels of two images. Background is assumed to be 0. More... | |
class | LabelOverlayImageFilter |
Apply a colormap to a label image and put it on top of the input image. More... | |
struct | LabelPixelID |
class | LabelShapeStatisticsImageFilter |
Converts a label image to a label map and valuates the shape attributes. More... | |
class | LabelStatisticsImageFilter |
Given an intensity image and a label map, compute min, max, variance and mean of the pixels associated with each label or segment. More... | |
class | LabelToRGBImageFilter |
Apply a colormap to a label image. More... | |
class | LabelUniqueLabelMapFilter |
Make sure that the objects are not overlapping. More... | |
class | LabelVotingImageFilter |
This filter performs pixelwise voting among an arbitrary number of input images, where each of them represents a segmentation of the same scene (i.e., image). More... | |
class | LandmarkBasedTransformInitializerFilter |
class | LandweberDeconvolutionImageFilter |
Deconvolve an image using the Landweber deconvolution algorithm. More... | |
class | LaplacianImageFilter |
class | LaplacianRecursiveGaussianImageFilter |
Computes the Laplacian of Gaussian (LoG) of an image. More... | |
class | LaplacianSegmentationLevelSetImageFilter |
Segments structures in images based on a second derivative image features. More... | |
class | LaplacianSharpeningImageFilter |
This filter sharpens an image using a Laplacian. LaplacianSharpening highlights regions of rapid intensity change and therefore highlights or enhances the edges. The result is an image that appears more in focus. More... | |
class | LessEqualImageFilter |
Implements pixel-wise generic operation of two images, or of an image and a constant. More... | |
class | LessImageFilter |
Implements pixel-wise generic operation of two images, or of an image and a constant. More... | |
class | LevelSetMotionRegistrationFilter |
Deformably register two images using level set motion. More... | |
class | LiThresholdImageFilter |
Threshold an image using the Li Threshold. More... | |
class | Log10ImageFilter |
Computes the log10 of each pixel. More... | |
class | LogImageFilter |
Computes the log() of each pixel. More... | |
class | MagnitudeAndPhaseToComplexImageFilter |
Implements pixel-wise conversion of magnitude and phase data into complex voxels. More... | |
class | MaskedFFTNormalizedCorrelationImageFilter |
Calculate masked normalized cross correlation using FFTs. More... | |
class | MaskImageFilter |
Mask an image with a mask. More... | |
class | MaskNegatedImageFilter |
Mask an image with the negation (or logical compliment) of a mask. More... | |
class | MaximumEntropyThresholdImageFilter |
Threshold an image using the MaximumEntropy Threshold. More... | |
class | MaximumImageFilter |
Implements a pixel-wise operator Max(a,b) between two images. More... | |
class | MaximumProjectionImageFilter |
Maximum projection. More... | |
class | MeanImageFilter |
Applies an averaging filter to an image. More... | |
class | MeanProjectionImageFilter |
Mean projection. More... | |
class | MedianImageFilter |
Applies a median filter to an image. More... | |
class | MedianProjectionImageFilter |
Median projection. More... | |
class | MergeLabelMapFilter |
Merges several Label Maps. More... | |
class | MinimumImageFilter |
Implements a pixel-wise operator Min(a,b) between two images. More... | |
class | MinimumMaximumImageFilter |
Computes the minimum and the maximum intensity values of an image. More... | |
class | MinimumProjectionImageFilter |
Minimum projection. More... | |
class | MinMaxCurvatureFlowImageFilter |
Denoise an image using min/max curvature flow. More... | |
class | MirrorPadImageFilter |
Increase the image size by padding with replicants of the input image value. More... | |
class | ModulusImageFilter |
Computes the modulus (x % dividend) pixel-wise. More... | |
class | MomentsThresholdImageFilter |
Threshold an image using the Moments Threshold. More... | |
class | MorphologicalGradientImageFilter |
gray scale dilation of an image More... | |
class | MorphologicalWatershedFromMarkersImageFilter |
Morphological watershed transform from markers. More... | |
class | MorphologicalWatershedImageFilter |
Watershed segmentation implementation with morphogical operators. More... | |
class | MultiLabelSTAPLEImageFilter |
This filter performs a pixelwise combination of an arbitrary number of input images, where each of them represents a segmentation of the same scene (i.e., image). More... | |
class | MultiplyImageFilter |
Pixel-wise multiplication of two images. More... | |
class | N4BiasFieldCorrectionImageFilter |
Implementation of the N4 bias field correction algorithm. More... | |
class | NaryAddImageFilter |
Pixel-wise addition of N images. More... | |
class | NaryMaximumImageFilter |
Computes the pixel-wise maximum of several images. More... | |
class | NeighborhoodConnectedImageFilter |
Label pixels that are connected to a seed and lie within a neighborhood. More... | |
class | NoiseImageFilter |
Calculate the local noise in an image. More... | |
class | NonCopyable |
An inheratable class to disable copying of a class. More... | |
class | NormalizedCorrelationImageFilter |
Computes the normalized correlation of an image and a template. More... | |
class | NormalizeImageFilter |
Normalize an image by setting its mean to zero and variance to one. More... | |
class | NormalizeToConstantImageFilter |
Scales image pixel intensities to make the sum of all pixels equal a user-defined constant. More... | |
class | NotEqualImageFilter |
Implements pixel-wise generic operation of two images, or of an image and a constant. More... | |
class | NotImageFilter |
Implements the NOT logical operator pixel-wise on an image. More... | |
class | ObjectnessMeasureImageFilter |
Enhance M-dimensional objects in N-dimensional images. More... | |
class | OpeningByReconstructionImageFilter |
Opening by reconstruction of an image. More... | |
class | OrImageFilter |
Implements the OR bitwise operator pixel-wise between two images. More... | |
class | OtsuMultipleThresholdsImageFilter |
Threshold an image using multiple Otsu Thresholds. More... | |
class | OtsuThresholdImageFilter |
Threshold an image using the Otsu Threshold. More... | |
class | PasteImageFilter |
Paste an image into another image. More... | |
class | PatchBasedDenoisingImageFilter |
Derived class implementing a specific patch-based denoising algorithm, as detailed below. More... | |
class | PermuteAxesImageFilter |
Permutes the image axes according to a user specified order. More... | |
class | PhysicalPointImageSource |
Generate an image of the physical locations of each pixel. More... | |
class | PimpleImageBase |
Private implementation idiom image base class. More... | |
struct | PixelIDToImageType |
struct | PixelIDToImageType< BasicPixelID< TPixelType >, VImageDimension > |
struct | PixelIDToImageType< LabelPixelID< TLabelType >, VImageDimension > |
struct | PixelIDToImageType< VectorPixelID< TVectorPixelType >, VImageDimension > |
struct | PixelIDToPixelIDValue |
class | PowImageFilter |
Computes the powers of 2 images. More... | |
class | ProcessObject |
Base class for SimpleITK classes based on ProcessObject. More... | |
class | ProjectedLandweberDeconvolutionImageFilter |
Deconvolve an image using the projected Landweber deconvolution algorithm. More... | |
class | RankImageFilter |
Rank filter of a greyscale image. More... | |
class | RealAndImaginaryToComplexImageFilter |
ComposeImageFilter combine several scalar images into a multicomponent image. More... | |
class | RealToHalfHermitianForwardFFTImageFilter |
Base class for specialized real-to-complex forward Fast Fourier Transform . More... | |
class | ReconstructionByDilationImageFilter |
grayscale reconstruction by dilation of an image More... | |
class | ReconstructionByErosionImageFilter |
grayscale reconstruction by erosion of an image More... | |
class | RecursiveGaussianImageFilter |
Base class for computing IIR convolution with an approximation of a Gaussian kernel. More... | |
class | RegionalMaximaImageFilter |
Produce a binary image where foreground is the regional maxima of the input image. More... | |
class | RegionalMinimaImageFilter |
Produce a binary image where foreground is the regional minima of the input image. More... | |
class | RegionOfInterestImageFilter |
Extract a region of interest from the input image. More... | |
class | RelabelComponentImageFilter |
Relabel the components in an image such that consecutive labels are used. More... | |
class | RelabelLabelMapFilter |
This filter relabels the LabelObjects; the new labels are arranged consecutively with consideration for the background value. More... | |
class | RenyiEntropyThresholdImageFilter |
Threshold an image using the RenyiEntropy Threshold. More... | |
class | ResampleImageFilter |
Resample an image via a coordinate transform. More... | |
class | RescaleIntensityImageFilter |
Applies a linear transformation to the intensity levels of the input Image . More... | |
class | RichardsonLucyDeconvolutionImageFilter |
Deconvolve an image using the Richardson-Lucy deconvolution algorithm. More... | |
class | RoundImageFilter |
Rounds the value of each pixel. More... | |
class | SaltAndPepperNoiseImageFilter |
Alter an image with fixed value impulse noise, often called salt and pepper noise. More... | |
class | ScalarChanAndVeseDenseLevelSetImageFilter |
Dense implementation of the Chan and Vese multiphase level set image filter. More... | |
class | ScalarConnectedComponentImageFilter |
A connected components filter that labels the objects in an arbitrary image. Two pixels are similar if they are within threshold of each other. Uses ConnectedComponentFunctorImageFilter . More... | |
class | ScalarImageKmeansImageFilter |
Classifies the intensity values of a scalar image using the K-Means algorithm. More... | |
class | ScalarToRGBColormapImageFilter |
Implements pixel-wise intensity->rgb mapping operation on one image. More... | |
class | ScaleSkewVersor3DTransform |
A over parameterized 3D Affine transform composed of the addition of a versor rotation matrix, a scale matrix and a skew matrix around a fixed center with translation. More... | |
class | ScaleTransform |
A 2D or 3D anisotropic scale of coordinate space around a fixed center. More... | |
class | ScaleVersor3DTransform |
A parameterized 3D transform composed of the addition of a versor rotation matrix and a scale matrix around a fixed center with translation. More... | |
class | ShanbhagThresholdImageFilter |
Threshold an image using the Shanbhag Threshold. More... | |
class | ShapeDetectionLevelSetImageFilter |
Segments structures in images based on a user supplied edge potential map. More... | |
class | ShiftScaleImageFilter |
Shift and scale the pixels in an image. More... | |
class | ShotNoiseImageFilter |
Alter an image with shot noise. More... | |
class | ShrinkImageFilter |
Reduce the size of an image by an integer factor in each dimension. More... | |
class | SigmoidImageFilter |
Computes the sigmoid function pixel-wise. More... | |
class | SignedDanielssonDistanceMapImageFilter |
class | SignedMaurerDistanceMapImageFilter |
This filter calculates the Euclidean distance transform of a binary image in linear time for arbitrary dimensions. More... | |
class | Similarity2DTransform |
A similarity 2D transform with rotation in radians and isotropic scaling around a fixed center with translation. More... | |
class | Similarity3DTransform |
A similarity 3D transform with rotation as a versor, and isotropic scaling around a fixed center with translation. More... | |
class | SimilarityIndexImageFilter |
Measures the similarity between the set of non-zero pixels of two images. More... | |
class | SimpleContourExtractorImageFilter |
Computes an image of contours which will be the contour of the first image. More... | |
class | SinImageFilter |
Computes the sine of each pixel. More... | |
class | SliceImageFilter |
Slices an image based on a starting index and a stopping index, and a step size. More... | |
class | SLICImageFilter |
Simple Linear Iterative Clustering (SLIC) super-pixel segmentation. More... | |
class | SmoothingRecursiveGaussianImageFilter |
Computes the smoothing of an image by convolution with the Gaussian kernels implemented as IIR filters. More... | |
class | SobelEdgeDetectionImageFilter |
A 2D or 3D edge detection using the Sobel operator. More... | |
class | SpeckleNoiseImageFilter |
Alter an image with speckle (multiplicative) noise. More... | |
class | SqrtImageFilter |
Computes the square root of each pixel. More... | |
class | SquaredDifferenceImageFilter |
Implements pixel-wise the computation of squared difference. More... | |
class | SquareImageFilter |
Computes the square of the intensity values pixel-wise. More... | |
class | StandardDeviationProjectionImageFilter |
Mean projection. More... | |
class | STAPLEImageFilter |
The STAPLE filter implements the Simultaneous Truth and Performance Level Estimation algorithm for generating ground truth volumes from a set of binary expert segmentations. More... | |
struct | StaticAssertFailure |
struct | StaticAssertFailure< true > |
class | StatisticsImageFilter |
Compute min. max, variance and mean of an Image . More... | |
class | StochasticFractalDimensionImageFilter |
This filter computes the stochastic fractal dimension of the input image. More... | |
class | SubtractImageFilter |
Pixel-wise subtraction of two images. More... | |
class | SumProjectionImageFilter |
Sum projection. More... | |
class | SymmetricForcesDemonsRegistrationFilter |
Deformably register two images using the demons algorithm. More... | |
class | TanImageFilter |
Computes the tangent of each input pixel. More... | |
class | TernaryAddImageFilter |
Pixel-wise addition of three images. More... | |
class | TernaryMagnitudeImageFilter |
Compute the pixel-wise magnitude of three images. More... | |
class | TernaryMagnitudeSquaredImageFilter |
Compute the pixel-wise squared magnitude of three images. More... | |
class | ThresholdImageFilter |
Set image values to a user-specified value if they are below, above, or between simple threshold values. More... | |
class | ThresholdMaximumConnectedComponentsImageFilter |
Finds the threshold value of an image based on maximizing the number of objects in the image that are larger than a given minimal size. More... | |
class | ThresholdSegmentationLevelSetImageFilter |
Segments structures in images based on intensity values. More... | |
class | TikhonovDeconvolutionImageFilter |
An inverse deconvolution filter regularized in the Tikhonov sense. More... | |
class | TileImageFilter |
Tile multiple input images into a single output image. More... | |
class | TobogganImageFilter |
toboggan image segmentation The Toboggan segmentation takes a gradient magnitude image as input and produces an (over-)segmentation of the image based on connecting each pixel to a local minimum of gradient. It is roughly equivalent to a watershed segmentation of the lowest level. More... | |
class | Transform |
A simplified wrapper around a variety of ITK transforms. More... | |
class | TransformToDisplacementFieldFilter |
Generate a displacement field from a coordinate transform. More... | |
class | TranslationTransform |
Translation of a 2D or 3D coordinate space. More... | |
class | TriangleThresholdImageFilter |
Threshold an image using the Triangle Threshold. More... | |
class | UnaryMinusImageFilter |
Implements pixel-wise generic operation on one image. More... | |
class | UnsharpMaskImageFilter |
Edge enhancement filter. More... | |
class | ValuedRegionalMaximaImageFilter |
Transforms the image so that any pixel that is not a regional maxima is set to the minimum value for the pixel type. Pixels that are regional maxima retain their value. More... | |
class | ValuedRegionalMinimaImageFilter |
Transforms the image so that any pixel that is not a regional minima is set to the maximum value for the pixel type. Pixels that are regional minima retain their value. More... | |
class | VectorConfidenceConnectedImageFilter |
Segment pixels with similar statistics using connectivity. More... | |
class | VectorConnectedComponentImageFilter |
A connected components filter that labels the objects in a vector image. Two vectors are pointing similar directions if one minus their dot product is less than a threshold. Vectors that are 180 degrees out of phase are similar. Assumes that vectors are normalized. More... | |
class | VectorIndexSelectionCastImageFilter |
Extracts the selected index of the vector that is the input pixel type. More... | |
class | VectorMagnitudeImageFilter |
Take an image of vectors as input and produce an image with the magnitude of those vectors. More... | |
struct | VectorPixelID |
class | Version |
Version info for SimpleITK. More... | |
class | VersorRigid3DTransform |
A rotation as a versor around a fixed center with translation of a 3D coordinate space. More... | |
class | VersorTransform |
A 3D rotation transform with rotation as a versor around a fixed center. More... | |
class | VotingBinaryHoleFillingImageFilter |
Fills in holes and cavities by applying a voting operation on each pixel. More... | |
class | VotingBinaryImageFilter |
Applies a voting operation in a neighborhood of each pixel. More... | |
class | VotingBinaryIterativeHoleFillingImageFilter |
Fills in holes and cavities by iteratively applying a voting operation. More... | |
class | WarpImageFilter |
Warps an image using an input displacement field. More... | |
class | WhiteTopHatImageFilter |
White top hat extracts local maxima that are larger than the structuring element. More... | |
class | WienerDeconvolutionImageFilter |
The Wiener deconvolution image filter is designed to restore an image convolved with a blurring kernel while keeping noise enhancement to a minimum. More... | |
class | WrapPadImageFilter |
Increase the image size by padding with replicants of the input image value. More... | |
class | XorImageFilter |
Computes the XOR bitwise operator pixel-wise between two images. More... | |
class | YenThresholdImageFilter |
Threshold an image using the Yen Threshold. More... | |
class | ZeroCrossingBasedEdgeDetectionImageFilter |
This filter implements a zero-crossing based edge detecor. More... | |
class | ZeroCrossingImageFilter |
This filter finds the closest pixel to the zero-crossings (sign changes) in a signed itk::Image . More... | |
class | ZeroFluxNeumannPadImageFilter |
Increase the image size by padding according to the zero-flux Neumann boundary condition. More... | |
Enumerations | |
enum | EventEnum { sitkAnyEvent = 0, sitkAbortEvent = 1, sitkDeleteEvent = 2, sitkEndEvent = 3, sitkIterationEvent = 4, sitkProgressEvent = 5, sitkStartEvent = 6, sitkMultiResolutionIterationEvent = 9, sitkUserEvent = 7 } |
Events which can be observed from ProcessObject. More... | |
enum | InterpolatorEnum { sitkNearestNeighbor = 1, sitkLinear = 2, sitkBSpline = 3, sitkGaussian = 4, sitkLabelGaussian = 5, sitkHammingWindowedSinc = 6, sitkCosineWindowedSinc = 7, sitkWelchWindowedSinc = 8, sitkLanczosWindowedSinc = 9, sitkBlackmanWindowedSinc = 10, sitkBSplineResampler = 11, sitkBSplineResamplerOrder3 = 11, sitkBSplineResamplerOrder1 = 12, sitkBSplineResamplerOrder2 = 13, sitkBSplineResamplerOrder4 = 14, sitkBSplineResamplerOrder5 = 15 } |
enum | KernelEnum { sitkAnnulus, sitkBall, sitkBox, sitkCross, sitkPolygon3, sitkPolygon4, sitkPolygon5, sitkPolygon6, sitkPolygon7, sitkPolygon8, sitkPolygon9 } |
enum | PixelIDValueEnum { sitkUnknown = -1, sitkUInt8 = PixelIDToPixelIDValue< BasicPixelID<uint8_t> >::Result, sitkInt8 = PixelIDToPixelIDValue< BasicPixelID<int8_t> >::Result, sitkUInt16 = PixelIDToPixelIDValue< BasicPixelID<uint16_t> >::Result, sitkInt16 = PixelIDToPixelIDValue< BasicPixelID<int16_t> >::Result, sitkUInt32 = PixelIDToPixelIDValue< BasicPixelID<uint32_t> >::Result, sitkInt32 = PixelIDToPixelIDValue< BasicPixelID<int32_t> >::Result, sitkUInt64 = PixelIDToPixelIDValue< BasicPixelID<uint64_t> >::Result, sitkInt64 = PixelIDToPixelIDValue< BasicPixelID<int64_t> >::Result, sitkFloat32 = PixelIDToPixelIDValue< BasicPixelID<float> >::Result, sitkFloat64 = PixelIDToPixelIDValue< BasicPixelID<double> >::Result, sitkComplexFloat32 = PixelIDToPixelIDValue< BasicPixelID<std::complex<float> > >::Result, sitkComplexFloat64 = PixelIDToPixelIDValue< BasicPixelID<std::complex<double> > >::Result, sitkVectorUInt8 = PixelIDToPixelIDValue< VectorPixelID<uint8_t> >::Result, sitkVectorInt8 = PixelIDToPixelIDValue< VectorPixelID<int8_t> >::Result, sitkVectorUInt16 = PixelIDToPixelIDValue< VectorPixelID<uint16_t> >::Result, sitkVectorInt16 = PixelIDToPixelIDValue< VectorPixelID<int16_t> >::Result, sitkVectorUInt32 = PixelIDToPixelIDValue< VectorPixelID<uint32_t> >::Result, sitkVectorInt32 = PixelIDToPixelIDValue< VectorPixelID<int32_t> >::Result, sitkVectorUInt64 = PixelIDToPixelIDValue< VectorPixelID<uint64_t> >::Result, sitkVectorInt64 = PixelIDToPixelIDValue< VectorPixelID<int64_t> >::Result, sitkVectorFloat32 = PixelIDToPixelIDValue< VectorPixelID<float> >::Result, sitkVectorFloat64 = PixelIDToPixelIDValue< VectorPixelID<double> >::Result, sitkLabelUInt8 = PixelIDToPixelIDValue< LabelPixelID<uint8_t> >::Result, sitkLabelUInt16 = PixelIDToPixelIDValue< LabelPixelID<uint16_t> >::Result, sitkLabelUInt32 = PixelIDToPixelIDValue< LabelPixelID<uint32_t> >::Result, sitkLabelUInt64 = PixelIDToPixelIDValue< LabelPixelID<uint64_t> >::Result } |
Enumerated values of pixelIDs. More... | |
enum | SeedEnum { sitkWallClock = 0 } |
enum | TransformEnum { sitkIdentity, sitkTranslation, sitkScale, sitkScaleLogarithmic, sitkEuler, sitkSimilarity, sitkQuaternionRigid, sitkVersor, sitkVersorRigid, sitkScaleSkewVersor, sitkAffine, sitkComposite, sitkDisplacementField, sitkBSplineTransform } |
Functions | |
Image | Abs (const Image &image1) |
Computes the absolute value of each pixel. More... | |
Image | AbsoluteValueDifference (const Image &image1, const Image &image2) |
Implements pixel-wise the computation of absolute value difference. More... | |
Image | AbsoluteValueDifference (const Image &image1, double constant) |
Image | AbsoluteValueDifference (double constant, const Image &image2) |
Image | Acos (const Image &image1) |
Computes the inverse cosine of each pixel. More... | |
Image | AdaptiveHistogramEqualization (const Image &image1, const std::vector< unsigned int > &radius=std::vector< unsigned int >(3, 5), float alpha=0.3f, float beta=0.3f) |
Power Law Adaptive Histogram Equalization. More... | |
Image | Add (const Image &image1, const Image &image2) |
Pixel-wise addition of two images. More... | |
Image | Add (const Image &image1, double constant) |
Image | Add (double constant, const Image &image2) |
Image | AdditiveGaussianNoise (const Image &image1, double standardDeviation=1.0, double mean=0.0, uint32_t seed=(uint32_t) itk::simple::sitkWallClock) |
Alter an image with additive Gaussian white noise. More... | |
Image | AggregateLabelMap (const Image &image1) |
Collapses all labels into the first label. More... | |
Image | And (const Image &image1, const Image &image2) |
Implements the AND bitwise operator pixel-wise between two images. More... | |
Image | And (const Image &image1, int constant) |
Image | And (int constant, const Image &image2) |
Image | AntiAliasBinary (const Image &image1, double maximumRMSError=0.07, uint32_t numberOfIterations=1000u) |
A method for estimation of a surface from a binary volume. More... | |
Image | ApproximateSignedDistanceMap (const Image &image1, double insideValue=1u, double outsideValue=0u) |
Create a map of the approximate signed distance from the boundaries of a binary image. More... | |
Image | Asin (const Image &image1) |
Computes the sine of each pixel. More... | |
Image | Atan (const Image &image1) |
Computes the one-argument inverse tangent of each pixel. More... | |
Image | Atan2 (const Image &image1, const Image &image2) |
Computes two argument inverse tangent. More... | |
Image | Atan2 (const Image &image1, double constant) |
Image | Atan2 (double constant, const Image &image2) |
Image | Bilateral (const Image &image1, double domainSigma=4.0, double rangeSigma=50.0, unsigned int numberOfRangeGaussianSamples=100u) |
Blurs an image while preserving edges. More... | |
Image | BinaryClosingByReconstruction (const Image &, uint32_t radius=1, KernelEnum kernel=sitkBall, double foregroundValue=1.0, bool fullyConnected=false) |
Image | BinaryClosingByReconstruction (const Image &, const std::vector< uint32_t > vectorRadius, KernelEnum kernel=sitkBall, double foregroundValue=1.0, bool fullyConnected=false) |
Image | BinaryContour (const Image &image1, bool fullyConnected=false, double backgroundValue=0.0, double foregroundValue=1.0) |
Labels the pixels on the border of the objects in a binary image. More... | |
Image | BinaryDilate (const Image &, uint32_t radius=1, KernelEnum kernel=sitkBall, double backgroundValue=0.0, double foregroundValue=1.0, bool boundaryToForeground=false) |
Image | BinaryDilate (const Image &, const std::vector< uint32_t > vectorRadius, KernelEnum kernel=sitkBall, double backgroundValue=0.0, double foregroundValue=1.0, bool boundaryToForeground=false) |
Image | BinaryErode (const Image &, uint32_t radius=1, KernelEnum kernel=sitkBall, double backgroundValue=0.0, double foregroundValue=1.0, bool boundaryToForeground=true) |
Image | BinaryErode (const Image &, const std::vector< uint32_t > vectorRadius, KernelEnum kernel=sitkBall, double backgroundValue=0.0, double foregroundValue=1.0, bool boundaryToForeground=true) |
Image | BinaryFillhole (const Image &image1, bool fullyConnected=false, double foregroundValue=1.0) |
Remove holes not connected to the boundary of the image. More... | |
Image | BinaryGrindPeak (const Image &image1, bool fullyConnected=false, double foregroundValue=1.0, double backgroundValue=0) |
Remove the objects not connected to the boundary of the image. More... | |
Image | BinaryImageToLabelMap (const Image &image1, bool fullyConnected=false, double inputForegroundValue=1.0, double outputBackgroundValue=0.0) |
Label the connected components in a binary image and produce a collection of label objects. More... | |
Image | BinaryMagnitude (const Image &image1, const Image &image2) |
Computes the square root of the sum of squares of corresponding input pixels. More... | |
Image | BinaryMedian (const Image &image1, const std::vector< unsigned int > &radius=std::vector< unsigned int >(3, 1), double foregroundValue=1.0, double backgroundValue=0.0) |
Applies a version of the median filter optimized for binary images. More... | |
Image | BinaryMinMaxCurvatureFlow (const Image &image1, double timeStep=0.05, uint32_t numberOfIterations=5u, int stencilRadius=2, double threshold=0) |
Denoise a binary image using min/max curvature flow. More... | |
Image | BinaryMorphologicalClosing (const Image &, uint32_t radius=1, KernelEnum kernel=sitkBall, double foregroundValue=1.0, bool safeBorder=true) |
Image | BinaryMorphologicalClosing (const Image &, const std::vector< uint32_t > vectorRadius, KernelEnum kernel=sitkBall, double foregroundValue=1.0, bool safeBorder=true) |
Image | BinaryMorphologicalOpening (const Image &, uint32_t radius=1, KernelEnum kernel=sitkBall, double backgroundValue=0.0, double foregroundValue=1.0) |
Image | BinaryMorphologicalOpening (const Image &, const std::vector< uint32_t > vectorRadius, KernelEnum kernel=sitkBall, double backgroundValue=0.0, double foregroundValue=1.0) |
Image | BinaryNot (const Image &image1, double foregroundValue=1.0, double backgroundValue=0.0) |
Implements the BinaryNot logical operator pixel-wise between two images. More... | |
Image | BinaryOpeningByReconstruction (const Image &, uint32_t radius=1, KernelEnum kernel=sitkBall, double foregroundValue=1.0, double backgroundValue=0.0, bool fullyConnected=false) |
Image | BinaryOpeningByReconstruction (const Image &, const std::vector< uint32_t > vectorRadius, KernelEnum kernel=sitkBall, double foregroundValue=1.0, double backgroundValue=0.0, bool fullyConnected=false) |
Image | BinaryProjection (const Image &image1, unsigned int projectionDimension=0u, double foregroundValue=1.0, double backgroundValue=0.0) |
Binary projection. More... | |
Image | BinaryReconstructionByDilation (const Image &image1, const Image &image2, double backgroundValue=0.0, double foregroundValue=1.0, bool fullyConnected=false) |
binary reconstruction by dilation of an image More... | |
Image | BinaryReconstructionByErosion (const Image &image1, const Image &image2, double backgroundValue=0.0, double foregroundValue=1.0, bool fullyConnected=false) |
binary reconstruction by erosion of an image More... | |
Image | BinaryThinning (const Image &image1) |
This filter computes one-pixel-wide edges of the input image. More... | |
Image | BinaryThreshold (const Image &image1, double lowerThreshold=0.0, double upperThreshold=255.0, uint8_t insideValue=1u, uint8_t outsideValue=0u) |
Binarize an input image by thresholding. More... | |
Image | BinaryThresholdProjection (const Image &image1, unsigned int projectionDimension=0u, double thresholdValue=0.0, uint8_t foregroundValue=1u, uint8_t backgroundValue=0u) |
BinaryThreshold projection. More... | |
Image | BinomialBlur (const Image &image1, unsigned int repetitions=1u) |
Performs a separable blur on each dimension of an image. More... | |
Image | BinShrink (const Image &image1, const std::vector< unsigned int > &shrinkFactors=std::vector< unsigned int >(3, 1)) |
Reduce the size of an image by an integer factor in each dimension while performing averaging of an input neighborhood. More... | |
Image | BitwiseNot (const Image &image1) |
Implements pixel-wise generic operation on one image. More... | |
Image | BlackTopHat (const Image &, uint32_t radius=1, KernelEnum kernel=sitkBall, bool safeBorder=true) |
Image | BlackTopHat (const Image &, const std::vector< uint32_t > vectorRadius, KernelEnum kernel=sitkBall, bool safeBorder=true) |
Image | BoundedReciprocal (const Image &image1) |
Computes 1/(1+x) for each pixel in the image. More... | |
Image | BoxMean (const Image &image1, const std::vector< unsigned int > &radius=std::vector< unsigned int >(3, 1)) |
Implements a fast rectangular mean filter using the accumulator approach. More... | |
Image | BoxSigma (const Image &image1, const std::vector< unsigned int > &radius=std::vector< unsigned int >(3, 1)) |
Implements a fast rectangular sigma filter using the accumulator approach. More... | |
Image | BSplineDecomposition (const Image &image1, uint32_t splineOrder=3u) |
Calculates the B-Spline coefficients of an image. Spline order may be from 0 to 5. More... | |
BSplineTransform | BSplineTransformInitializer (const Image &image1, const std::vector< uint32_t > &transformDomainMeshSize=std::vector< uint32_t >(3, 1u), unsigned int order=3u) |
BSplineTransformInitializerFilter is a helper class intended to initialize the control point grid such that it has a physically consistent definition. It sets the transform domain origin, physical dimensions and direction from information obtained from the image. It also sets the mesh size if asked to do so by calling SetTransformDomainMeshSize()before calling InitializeTransform(). More... | |
Image | CannyEdgeDetection (const Image &image1, double lowerThreshold=0.0, double upperThreshold=0.0, const std::vector< double > &variance=std::vector< double >(3, 0.0), const std::vector< double > &maximumError=std::vector< double >(3, 0.01)) |
This filter is an implementation of a Canny edge detector for scalar-valued images. More... | |
Image | Cast (const Image &image, PixelIDValueEnum pixelID) |
Transform | CenteredTransformInitializer (const Image &fixedImage, const Image &movingImage, const Transform &transform, CenteredTransformInitializerFilter::OperationModeType operationMode=itk::simple::CenteredTransformInitializerFilter::MOMENTS) |
CenteredTransformInitializer is a helper class intended to initialize the center of rotation and the translation of Transforms having the center of rotation among their parameters. More... | |
Transform | CenteredVersorTransformInitializer (const Image &fixedImage, const Image &movingImage, const Transform &transform, bool computeRotation=false) |
CenteredVersorTransformInitializer is a helper class intended to initialize the center of rotation, versor, and translation of the VersorRigid3DTransform. More... | |
Image | ChangeLabel (const Image &image1, std::map< double, double > changeMap=std::map< double, double >()) |
Change Sets of Labels. More... | |
Image | ChangeLabelLabelMap (const Image &image1, std::map< double, double > changeMap=std::map< double, double >()) |
Replace the label Ids of selected LabelObjects with new label Ids. More... | |
Image | CheckerBoard (const Image &image1, const Image &image2, const std::vector< uint32_t > &checkerPattern=std::vector< uint32_t >(3, 4)) |
Combines two images in a checkerboard pattern. More... | |
Image | Clamp (const Image &image1, PixelIDValueEnum outputPixelType=itk::simple::sitkUnknown, double lowerBound=-std::numeric_limits< double >::max(), double upperBound=std::numeric_limits< double >::max()) |
Casts input pixels to output pixel type and clamps the output pixel values to a specified range. More... | |
Image | ClosingByReconstruction (const Image &, uint32_t radius=1, KernelEnum kernel=sitkBall, bool fullyConnected=false, bool preserveIntensities=false) |
Image | ClosingByReconstruction (const Image &, const std::vector< uint32_t > vectorRadius, KernelEnum kernel=sitkBall, bool fullyConnected=false, bool preserveIntensities=false) |
Image | CollidingFronts (const Image &image1, const std::vector< std::vector< unsigned int > > &seedPoints1=std::vector< std::vector< unsigned int > >(), const std::vector< std::vector< unsigned int > > &seedPoints2=std::vector< std::vector< unsigned int > >(), bool applyConnectivity=true, double negativeEpsilon=-1e-6, bool stopOnTargets=false) |
Selects a region of space where two independent fronts run towards each other. More... | |
Image | ComplexToImaginary (const Image &image1) |
Computes pixel-wise the imaginary part of a complex image. More... | |
Image | ComplexToModulus (const Image &image1) |
Computes pixel-wise the Modulus of a complex image. More... | |
Image | ComplexToPhase (const Image &image1) |
Computes pixel-wise the modulus of a complex image. More... | |
Image | ComplexToReal (const Image &image1) |
Computes pixel-wise the real(x) part of a complex image. More... | |
Image | ConfidenceConnected (const Image &image1, const std::vector< std::vector< unsigned int > > &seedList, unsigned int numberOfIterations=4u, double multiplier=4.5, unsigned int initialNeighborhoodRadius=1u, uint8_t replaceValue=1u) |
Image | ConnectedComponent (const Image &image, const Image &maskImage, bool fullyConnected=false) |
Label the objects in a binary image. More... | |
Image | ConnectedComponent (const Image &image, bool fullyConnected=false) |
Image | ConnectedThreshold (const Image &image1, const std::vector< std::vector< unsigned int > > &seedList, double lower=0, double upper=1, uint8_t replaceValue=1u, ConnectedThresholdImageFilter::ConnectivityType connectivity=itk::simple::ConnectedThresholdImageFilter::FaceConnectivity) |
Image | ConstantPad (const Image &image1, const std::vector< unsigned int > &padLowerBound=std::vector< unsigned int >(3, 0), const std::vector< unsigned int > &padUpperBound=std::vector< unsigned int >(3, 0), double constant=0.0) |
Increase the image size by padding with a constant value. More... | |
Image | Convolution (const Image &image, const Image &kernelImage, bool normalize=false, ConvolutionImageFilter::BoundaryConditionType boundaryCondition=itk::simple::ConvolutionImageFilter::ZERO_FLUX_NEUMANN_PAD, ConvolutionImageFilter::OutputRegionModeType outputRegionMode=itk::simple::ConvolutionImageFilter::SAME) |
Convolve a given image with an arbitrary image kernel. More... | |
Image | Cos (const Image &image1) |
Computes the cosine of each pixel. More... | |
template<unsigned int VImageDimension> | |
itk::FlatStructuringElement< VImageDimension > | CreateKernel (KernelEnum kernelType, const std::vector< uint32_t > &size) |
Image | Crop (const Image &image1, const std::vector< unsigned int > &lowerBoundaryCropSize=std::vector< unsigned int >(3, 0), const std::vector< unsigned int > &upperBoundaryCropSize=std::vector< unsigned int >(3, 0)) |
Decrease the image size by cropping the image by an itk::Size at both the upper and lower bounds of the largest possible region. More... | |
Image | CurvatureAnisotropicDiffusion (const Image &image1, double timeStep=0.0625, double conductanceParameter=3, unsigned int conductanceScalingUpdateInterval=1u, uint32_t numberOfIterations=5u) |
itk::simple::CurvatureAnisotropicDiffusionImageFilter Procedural Interface More... | |
Image | CurvatureFlow (const Image &image1, double timeStep=0.05, uint32_t numberOfIterations=5u) |
Denoise an image using curvature driven flow. More... | |
Image | CyclicShift (const Image &image1, const std::vector< int > &shift=std::vector< int >(3, 0)) |
Perform a cyclic spatial shift of image intensities on the image grid. More... | |
Image | DanielssonDistanceMap (const Image &image1, bool inputIsBinary=false, bool squaredDistance=false, bool useImageSpacing=false) |
This filter computes the distance map of the input image as an approximation with pixel accuracy to the Euclidean distance. More... | |
Image | Derivative (const Image &image1, unsigned int direction=0u, unsigned int order=1u, bool useImageSpacing=true) |
Computes the directional derivative of an image. The directional derivative at each pixel location is computed by convolution with a derivative operator of user-specified order. More... | |
Image | DilateObjectMorphology (const Image &, uint32_t radius=1, KernelEnum kernel=sitkBall, double objectValue=1) |
Image | DilateObjectMorphology (const Image &, const std::vector< uint32_t > vectorRadius, KernelEnum kernel=sitkBall, double objectValue=1) |
Image | DiscreteGaussian (const Image &image1, double variance, unsigned int maximumKernelWidth=32u, double maximumError=0.01, bool useImageSpacing=true) |
Blurs an image by separable convolution with discrete gaussian kernels. This filter performs Gaussian blurring by separable convolution of an image and a discrete Gaussian operator (kernel). More... | |
Image | DiscreteGaussian (const Image &image1, const std::vector< double > &variance=std::vector< double >(3, 1.0), unsigned int maximumKernelWidth=32u, const std::vector< double > &maximumError=std::vector< double >(3, 0.01), bool useImageSpacing=true) |
Blurs an image by separable convolution with discrete gaussian kernels. This filter performs Gaussian blurring by separable convolution of an image and a discrete Gaussian operator (kernel). More... | |
Image | DiscreteGaussianDerivative (const Image &image1, const std::vector< double > &variance=std::vector< double >(3, 0.0), const std::vector< unsigned int > &order=std::vector< unsigned int >(3, 1), unsigned int maximumKernelWidth=32u, double maximumError=0.01, bool useImageSpacing=true, bool normalizeAcrossScale=false) |
Calculates image derivatives using discrete derivative gaussian kernels. This filter calculates Gaussian derivative by separable convolution of an image and a discrete Gaussian derivative operator (kernel). More... | |
Image | DisplacementFieldJacobianDeterminant (const Image &image1, bool useImageSpacing=true, const std::vector< double > &derivativeWeights=std::vector< double >()) |
Computes a scalar image from a vector image (e.g., deformation field) input, where each output scalar at each pixel is the Jacobian determinant of the vector field at that location. This calculation is correct in the case where the vector image is a "displacement" from the current location. The computation for the jacobian determinant is: det[ dT/dx ] = det[ I + du/dx ]. More... | |
Image | Divide (const Image &image1, const Image &image2) |
Pixel-wise division of two images. More... | |
Image | Divide (const Image &image1, double constant) |
Image | Divide (double constant, const Image &image2) |
Image | DivideFloor (const Image &image1, const Image &image2) |
Implements pixel-wise generic operation of two images, or of an image and a constant. More... | |
Image | DivideFloor (const Image &image1, double constant) |
Image | DivideFloor (double constant, const Image &image2) |
Image | DivideReal (const Image &image1, const Image &image2) |
Implements pixel-wise generic operation of two images, or of an image and a constant. More... | |
Image | DivideReal (const Image &image1, double constant) |
Image | DivideReal (double constant, const Image &image2) |
Image | DoubleThreshold (const Image &image1, double threshold1=0.0, double threshold2=1.0, double threshold3=254.0, double threshold4=255.0, uint8_t insideValue=1u, uint8_t outsideValue=0u, bool fullyConnected=false) |
Binarize an input image using double thresholding. More... | |
Image | EdgePotential (const Image &image1) |
Computes the edge potential of an image from the image gradient. More... | |
Image | Equal (const Image &image1, const Image &image2, uint8_t backgroundValue=0u, uint8_t foregroundValue=1u) |
Implements pixel-wise generic operation of two images, or of an image and a constant. More... | |
Image | Equal (const Image &image1, double constant, uint8_t backgroundValue=0u, uint8_t foregroundValue=1u) |
Image | Equal (double constant, const Image &image2, uint8_t backgroundValue=0u, uint8_t foregroundValue=1u) |
Image | ErodeObjectMorphology (const Image &, uint32_t radius=1, KernelEnum kernel=sitkBall, double objectValue=1, double backgroundValue=0) |
Image | ErodeObjectMorphology (const Image &, const std::vector< uint32_t > vectorRadius, KernelEnum kernel=sitkBall, double objectValue=1, double backgroundValue=0) |
Image | Exp (const Image &image1) |
Computes the exponential function of each pixel. More... | |
Image | Expand (const Image &image1, const std::vector< unsigned int > &expandFactors=std::vector< unsigned int >(3, 1), InterpolatorEnum interpolator=itk::simple::sitkLinear) |
Expand the size of an image by an integer factor in each dimension. More... | |
Image | ExpNegative (const Image &image1) |
Computes the function exp(-K.x) for each input pixel. More... | |
Image | Extract (const Image &image1, const std::vector< unsigned int > &size=std::vector< unsigned int >(4, 1), const std::vector< int > &index=std::vector< int >(4, 0), ExtractImageFilter::DirectionCollapseToStrategyType directionCollapseToStrategy=itk::simple::ExtractImageFilter::DIRECTIONCOLLAPSETOGUESS) |
Decrease the image size by cropping the image to the selected region bounds. More... | |
Image | FastApproximateRank (const Image &image1, double rank=0.5, const std::vector< unsigned int > &radius=std::vector< unsigned int >(3, 1)) |
A separable rank filter. More... | |
Image | FastMarching (const Image &image1, const std::vector< std::vector< unsigned int > > &trialPoints=std::vector< std::vector< unsigned int > >(), double normalizationFactor=1.0, double stoppingValue=std::numeric_limits< double >::max()/2.0) |
Solve an Eikonal equation using Fast Marching. More... | |
Image | FastMarchingBase (const Image &imageA, std::vector< std::vector< unsigned int > > trialPoints, double normalizationFactor=1.0, double stoppingValue=std::numeric_limits< float >::max()/2.0, FastMarchingBaseImageFilter::TopologyCheckType topologyCheck=itk::simple::FastMarchingBaseImageFilter::Nothing) |
Image | FastMarchingUpwindGradient (const Image &image1, const std::vector< std::vector< unsigned int > > &trialPoints=std::vector< std::vector< unsigned int > >(), unsigned int numberOfTargets=0u, const std::vector< std::vector< unsigned int > > &targetPoints=std::vector< std::vector< unsigned int > >(), double targetOffset=1, double normalizationFactor=1.0) |
Generates the upwind gradient field of fast marching arrival times. More... | |
Image | FFTConvolution (const Image &image, const Image &kernelImage, bool normalize=false, FFTConvolutionImageFilter::BoundaryConditionType boundaryCondition=itk::simple::FFTConvolutionImageFilter::ZERO_FLUX_NEUMANN_PAD, FFTConvolutionImageFilter::OutputRegionModeType outputRegionMode=itk::simple::FFTConvolutionImageFilter::SAME) |
Convolve a given image with an arbitrary image kernel using multiplication in the Fourier domain. More... | |
Image | FFTNormalizedCorrelation (const Image &image1, const Image &image2, uint64_t requiredNumberOfOverlappingPixels=0u) |
Calculate normalized cross correlation using FFTs. More... | |
Image | FFTPad (const Image &image1, FFTPadImageFilter::BoundaryConditionType boundaryCondition=itk::simple::FFTPadImageFilter::ZERO_FLUX_NEUMANN_PAD, int sizeGreatestPrimeFactor=5) |
Pad an image to make it suitable for an FFT transformation. More... | |
Image | FFTShift (const Image &image1, bool inverse=false) |
Shift the zero-frequency components of a Fourier transform to the center of the image. More... | |
Image | Flip (const Image &image1, const std::vector< bool > &flipAxes=std::vector< bool >(3, false), bool flipAboutOrigin=false) |
Flips an image across user specified axes. More... | |
Image | ForwardFFT (const Image &image1) |
Base class for forward Fast Fourier Transform . More... | |
Image | GaborSource (PixelIDValueEnum outputPixelType=itk::simple::sitkFloat32, const std::vector< unsigned int > &size=std::vector< unsigned int >(3, 64), const std::vector< double > &sigma=std::vector< double >(3, 16.0), const std::vector< double > &mean=std::vector< double >(3, 32.0), double frequency=0.4, const std::vector< double > &origin=std::vector< double >(3, 0.0), const std::vector< double > &spacing=std::vector< double >(3, 1.0), std::vector< double > direction=std::vector< double >()) |
Generate an n-dimensional image of a Gabor filter. More... | |
Image | GaussianSource (PixelIDValueEnum outputPixelType=itk::simple::sitkFloat32, const std::vector< unsigned int > &size=std::vector< unsigned int >(3, 64), const std::vector< double > &sigma=std::vector< double >(3, 16.0), const std::vector< double > &mean=std::vector< double >(3, 32.0), double scale=255, const std::vector< double > &origin=std::vector< double >(3, 0.0), const std::vector< double > &spacing=std::vector< double >(3, 1.0), std::vector< double > direction=std::vector< double >(), bool normalized=false) |
Generate an n-dimensional image of a Gaussian. More... | |
Image | GeodesicActiveContourLevelSet (const Image &image1, const Image &image2, double maximumRMSError=0.01, double propagationScaling=1.0, double curvatureScaling=1.0, double advectionScaling=1.0, uint32_t numberOfIterations=1000u, bool reverseExpansionDirection=false) |
Segments structures in images based on a user supplied edge potential map. More... | |
template<typename TPixelType , unsigned int ImageDimension> | |
SITKCommon_HIDDEN itk::Image< itk::Vector< TPixelType, ImageDimension >, ImageDimension >::Pointer | GetImageFromVectorImage (itk::VectorImage< TPixelType, ImageDimension > *img, bool transferOwnership=false) |
A utility method to help convert between itk image types efficiently. More... | |
const std::string SITKCommon_EXPORT | GetPixelIDValueAsString (PixelIDValueType type) |
const std::string SITKCommon_EXPORT | GetPixelIDValueAsString (PixelIDValueEnum type) |
PixelIDValueType SITKCommon_EXPORT | GetPixelIDValueFromString (const std::string &enumString) |
Function mapping enumeration names in std::string to values. More... | |
template<class TPixelType , unsigned int NImageDimension, unsigned int NLength> | |
SITKCommon_HIDDEN itk::VectorImage< TPixelType, NImageDimension >::Pointer | GetVectorImageFromImage (itk::Image< itk::Vector< TPixelType, NLength >, NImageDimension > *img, bool transferOwnership=false) |
template<class TPixelType , unsigned int NImageDimension> | |
SITKCommon_HIDDEN itk::VectorImage< TPixelType, NImageDimension >::Pointer | GetVectorImageFromImage (itk::Image< itk::Vector< TPixelType, NImageDimension >, NImageDimension > *img, bool transferOwnership=false) |
Image | Gradient (const Image &image1, bool useImageSpacing=true, bool useImageDirection=false) |
Computes the gradient of an image using directional derivatives. More... | |
Image | GradientAnisotropicDiffusion (const Image &image1, double timeStep=0.125, double conductanceParameter=3, unsigned int conductanceScalingUpdateInterval=1u, uint32_t numberOfIterations=5u) |
itk::simple::GradientAnisotropicDiffusionImageFilter Procedural Interface More... | |
Image | GradientMagnitude (const Image &image1, bool useImageSpacing=true) |
Computes the gradient magnitude of an image region at each pixel. More... | |
Image | GradientMagnitudeRecursiveGaussian (const Image &image1, double sigma=1.0, bool normalizeAcrossScale=false) |
Computes the Magnitude of the Gradient of an image by convolution with the first derivative of a Gaussian. More... | |
Image | GradientRecursiveGaussian (const Image &image1, double sigma=1.0, bool normalizeAcrossScale=false, bool useImageDirection=false) |
Computes the gradient of an image by convolution with the first derivative of a Gaussian. More... | |
Image | GrayscaleConnectedClosing (const Image &image1, const std::vector< uint32_t > &seed=std::vector< uint32_t >(3, 0), bool fullyConnected=false) |
Enhance pixels associated with a dark object (identified by a seed pixel) where the dark object is surrounded by a brigher object. More... | |
Image | GrayscaleConnectedOpening (const Image &image1, const std::vector< unsigned int > &seed=std::vector< unsigned int >(3, 0), bool fullyConnected=false) |
Enhance pixels associated with a bright object (identified by a seed pixel) where the bright object is surrounded by a darker object. More... | |
Image | GrayscaleDilate (const Image &, uint32_t radius=1, KernelEnum kernel=sitkBall) |
Image | GrayscaleDilate (const Image &, const std::vector< uint32_t > vectorRadius, KernelEnum kernel=sitkBall) |
Image | GrayscaleErode (const Image &, uint32_t radius=1, KernelEnum kernel=sitkBall) |
Image | GrayscaleErode (const Image &, const std::vector< uint32_t > vectorRadius, KernelEnum kernel=sitkBall) |
Image | GrayscaleFillhole (const Image &image1, bool fullyConnected=false) |
Remove local minima not connected to the boundary of the image. More... | |
Image | GrayscaleGeodesicDilate (const Image &image1, const Image &image2, bool runOneIteration=false, bool fullyConnected=false) |
geodesic gray scale dilation of an image More... | |
Image | GrayscaleGeodesicErode (const Image &image1, const Image &image2, bool runOneIteration=false, bool fullyConnected=false) |
geodesic gray scale erosion of an image More... | |
Image | GrayscaleGrindPeak (const Image &image1, bool fullyConnected=false) |
Remove local maxima not connected to the boundary of the image. More... | |
Image | GrayscaleMorphologicalClosing (const Image &, uint32_t radius=1, KernelEnum kernel=sitkBall, bool safeBorder=true) |
Image | GrayscaleMorphologicalClosing (const Image &, const std::vector< uint32_t > vectorRadius, KernelEnum kernel=sitkBall, bool safeBorder=true) |
Image | GrayscaleMorphologicalOpening (const Image &, uint32_t radius=1, KernelEnum kernel=sitkBall, bool safeBorder=true) |
Image | GrayscaleMorphologicalOpening (const Image &, const std::vector< uint32_t > vectorRadius, KernelEnum kernel=sitkBall, bool safeBorder=true) |
Image | Greater (const Image &image1, const Image &image2, uint8_t backgroundValue=0u, uint8_t foregroundValue=1u) |
Implements pixel-wise generic operation of two images, or of an image and a constant. More... | |
Image | Greater (const Image &image1, double constant, uint8_t backgroundValue=0u, uint8_t foregroundValue=1u) |
Image | Greater (double constant, const Image &image2, uint8_t backgroundValue=0u, uint8_t foregroundValue=1u) |
Image | GreaterEqual (const Image &image1, const Image &image2, uint8_t backgroundValue=0u, uint8_t foregroundValue=1u) |
Implements pixel-wise generic operation of two images, or of an image and a constant. More... | |
Image | GreaterEqual (const Image &image1, double constant, uint8_t backgroundValue=0u, uint8_t foregroundValue=1u) |
Image | GreaterEqual (double constant, const Image &image2, uint8_t backgroundValue=0u, uint8_t foregroundValue=1u) |
Image | GridSource (PixelIDValueEnum outputPixelType=itk::simple::sitkFloat32, const std::vector< unsigned int > &size=std::vector< unsigned int >(3, 64), const std::vector< double > &sigma=std::vector< double >(3, 0.5), const std::vector< double > &gridSpacing=std::vector< double >(3, 4.0), const std::vector< double > &gridOffset=std::vector< double >(3, 0.0), double scale=255.0, const std::vector< double > &origin=std::vector< double >(3, 0.0), const std::vector< double > &spacing=std::vector< double >(3, 1.0), std::vector< double > direction=std::vector< double >()) |
Generate an n-dimensional image of a grid. More... | |
Image | HalfHermitianToRealInverseFFT (const Image &image1, bool actualXDimensionIsOdd=false) |
Base class for specialized complex-to-real inverse Fast Fourier Transform . More... | |
std::string | Hash (const Image &image, HashImageFilter::HashFunction function=HashImageFilter::SHA1) |
Image | HConcave (const Image &image1, double height=2.0, bool fullyConnected=false) |
Identify local minima whose depth below the baseline is greater than h. More... | |
Image | HConvex (const Image &image1, double height=2.0, bool fullyConnected=false) |
Identify local maxima whose height above the baseline is greater than h. More... | |
Image | HistogramMatching (const Image &image1, const Image &image2, uint32_t numberOfHistogramLevels=256u, uint32_t numberOfMatchPoints=1u, bool thresholdAtMeanIntensity=true) |
Normalize the grayscale values between two images by histogram matching. More... | |
Image | HMaxima (const Image &image1, double height=2.0) |
Suppress local maxima whose height above the baseline is less than h. More... | |
Image | HMinima (const Image &image1, double height=2.0, bool fullyConnected=false) |
Suppress local minima whose depth below the baseline is less than h. More... | |
Image | HuangThreshold (const Image &image, const Image &maskImage, uint8_t insideValue=1u, uint8_t outsideValue=0u, uint32_t numberOfHistogramBins=128u, bool maskOutput=true, uint8_t maskValue=255u) |
Threshold an image using the Huang Threshold. More... | |
Image | HuangThreshold (const Image &image, uint8_t insideValue=1u, uint8_t outsideValue=0u, uint32_t numberOfHistogramBins=128u, bool maskOutput=true, uint8_t maskValue=255u) |
Image SITKIO_EXPORT | ImportAsDouble (double *buffer, const std::vector< unsigned int > &size, const std::vector< double > &spacing=std::vector< double >(3, 1.0), const std::vector< double > &origin=std::vector< double >(3, 0.0), const std::vector< double > &direction=std::vector< double >(), unsigned int numberOfComponents=1) |
Image SITKIO_EXPORT | ImportAsFloat (float *buffer, const std::vector< unsigned int > &size, const std::vector< double > &spacing=std::vector< double >(3, 1.0), const std::vector< double > &origin=std::vector< double >(3, 0.0), const std::vector< double > &direction=std::vector< double >(), unsigned int numberOfComponents=1) |
Image SITKIO_EXPORT | ImportAsInt16 (int16_t *buffer, const std::vector< unsigned int > &size, const std::vector< double > &spacing=std::vector< double >(3, 1.0), const std::vector< double > &origin=std::vector< double >(3, 0.0), const std::vector< double > &direction=std::vector< double >(), unsigned int numberOfComponents=1) |
Image SITKIO_EXPORT | ImportAsInt32 (int32_t *buffer, const std::vector< unsigned int > &size, const std::vector< double > &spacing=std::vector< double >(3, 1.0), const std::vector< double > &origin=std::vector< double >(3, 0.0), const std::vector< double > &direction=std::vector< double >(), unsigned int numberOfComponents=1) |
Image SITKIO_EXPORT | ImportAsInt64 (int64_t *buffer, const std::vector< unsigned int > &size, const std::vector< double > &spacing=std::vector< double >(3, 1.0), const std::vector< double > &origin=std::vector< double >(3, 0.0), const std::vector< double > &direction=std::vector< double >(), unsigned int numberOfComponents=1) |
Image SITKIO_EXPORT | ImportAsInt8 (int8_t *buffer, const std::vector< unsigned int > &size, const std::vector< double > &spacing=std::vector< double >(3, 1.0), const std::vector< double > &origin=std::vector< double >(3, 0.0), const std::vector< double > &direction=std::vector< double >(), unsigned int numberOfComponents=1) |
Image SITKIO_EXPORT | ImportAsUInt16 (uint16_t *buffer, const std::vector< unsigned int > &size, const std::vector< double > &spacing=std::vector< double >(3, 1.0), const std::vector< double > &origin=std::vector< double >(3, 0.0), const std::vector< double > &direction=std::vector< double >(), unsigned int numberOfComponents=1) |
Image SITKIO_EXPORT | ImportAsUInt32 (uint32_t *buffer, const std::vector< unsigned int > &size, const std::vector< double > &spacing=std::vector< double >(3, 1.0), const std::vector< double > &origin=std::vector< double >(3, 0.0), const std::vector< double > &direction=std::vector< double >(), unsigned int numberOfComponents=1) |
Image SITKIO_EXPORT | ImportAsUInt64 (uint64_t *buffer, const std::vector< unsigned int > &size, const std::vector< double > &spacing=std::vector< double >(3, 1.0), const std::vector< double > &origin=std::vector< double >(3, 0.0), const std::vector< double > &direction=std::vector< double >(), unsigned int numberOfComponents=1) |
Image SITKIO_EXPORT | ImportAsUInt8 (uint8_t *buffer, const std::vector< unsigned int > &size, const std::vector< double > &spacing=std::vector< double >(3, 1.0), const std::vector< double > &origin=std::vector< double >(3, 0.0), const std::vector< double > &direction=std::vector< double >(), unsigned int numberOfComponents=1) |
Image | IntensityWindowing (const Image &image1, double windowMinimum=0.0, double windowMaximum=255, double outputMinimum=0, double outputMaximum=255) |
Applies a linear transformation to the intensity levels of the input Image that are inside a user-defined interval. Values below this interval are mapped to a constant. Values over the interval are mapped to another constant. More... | |
Image | IntermodesThreshold (const Image &image, const Image &maskImage, uint8_t insideValue=1u, uint8_t outsideValue=0u, uint32_t numberOfHistogramBins=256u, bool maskOutput=true, uint8_t maskValue=255u) |
Threshold an image using the Intermodes Threshold. More... | |
Image | IntermodesThreshold (const Image &image, uint8_t insideValue=1u, uint8_t outsideValue=0u, uint32_t numberOfHistogramBins=256u, bool maskOutput=true, uint8_t maskValue=255u) |
Image | InverseDeconvolution (const Image &image1, const Image &image2, double kernelZeroMagnitudeThreshold=1.0e-4, bool normalize=false, InverseDeconvolutionImageFilter::BoundaryConditionType boundaryCondition=itk::simple::InverseDeconvolutionImageFilter::ZERO_FLUX_NEUMANN_PAD, InverseDeconvolutionImageFilter::OutputRegionModeType outputRegionMode=itk::simple::InverseDeconvolutionImageFilter::SAME) |
The direct linear inverse deconvolution filter. More... | |
Image | InverseDisplacementField (const Image &image1, const std::vector< uint32_t > &size=std::vector< uint32_t >(3, 0), const std::vector< double > &outputOrigin=std::vector< double >(3, 0.0), const std::vector< double > &outputSpacing=std::vector< double >(3, 1.0), unsigned int subsamplingFactor=16u) |
Computes the inverse of a displacement field. More... | |
Image | InverseFFT (const Image &image1) |
Base class for inverse Fast Fourier Transform . More... | |
Image | InvertDisplacementField (const Image &image1, uint32_t maximumNumberOfIterations=10u, double maxErrorToleranceThreshold=0.1, double meanErrorToleranceThreshold=0.001, bool enforceBoundaryCondition=true) |
Iteratively estimate the inverse field of a displacement field. More... | |
Image | InvertIntensity (const Image &image1, double maximum=255) |
Invert the intensity of an image. More... | |
Image | IsoContourDistance (const Image &image1, double levelSetValue=0.0, double farValue=10) |
Compute an approximate distance from an interpolated isocontour to the close grid points. More... | |
Image | IsoDataThreshold (const Image &image, const Image &maskImage, uint8_t insideValue=1u, uint8_t outsideValue=0u, uint32_t numberOfHistogramBins=256u, bool maskOutput=true, uint8_t maskValue=255u) |
Threshold an image using the IsoData Threshold. More... | |
Image | IsoDataThreshold (const Image &image, uint8_t insideValue=1u, uint8_t outsideValue=0u, uint32_t numberOfHistogramBins=256u, bool maskOutput=true, uint8_t maskValue=255u) |
Image | IsolatedConnected (const Image &image1, const std::vector< unsigned int > &seed1=std::vector< unsigned int >(3, 0), const std::vector< unsigned int > &seed2=std::vector< unsigned int >(3, 0), double lower=0, double upper=1, uint8_t replaceValue=1u, double isolatedValueTolerance=1.0, bool findUpperThreshold=true) |
Label pixels that are connected to one set of seeds but not another. More... | |
Image | IsolatedWatershed (const Image &image1, const std::vector< uint32_t > &seed1=std::vector< uint32_t >(3, 0), const std::vector< uint32_t > &seed2=std::vector< uint32_t >(3, 0), double threshold=0.0, double upperValueLimit=1.0, double isolatedValueTolerance=0.001, uint8_t replaceValue1=1u, uint8_t replaceValue2=2u) |
Isolate watershed basins using two seeds. More... | |
Image | IterativeInverseDisplacementField (const Image &image1, uint32_t numberOfIterations=5u, double stopValue=0.0) |
Computes the inverse of a displacement field. More... | |
Image | KittlerIllingworthThreshold (const Image &image, const Image &maskImage, uint8_t insideValue=1u, uint8_t outsideValue=0u, uint32_t numberOfHistogramBins=256u, bool maskOutput=true, uint8_t maskValue=255u) |
Threshold an image using the KittlerIllingworth Threshold. More... | |
Image | KittlerIllingworthThreshold (const Image &image, uint8_t insideValue=1u, uint8_t outsideValue=0u, uint32_t numberOfHistogramBins=256u, bool maskOutput=true, uint8_t maskValue=255u) |
Image | LabelContour (const Image &image1, bool fullyConnected=false, double backgroundValue=0) |
Labels the pixels on the border of the objects in a labeled image. More... | |
Image | LabelImageToLabelMap (const Image &image1, double backgroundValue=0) |
convert a labeled image to a label collection image More... | |
Image | LabelMapContourOverlay (const Image &labelMapImage, const Image &featureImage, double opacity=0.5, const std::vector< unsigned int > &dilationRadius=std::vector< unsigned int >(3, 1), const std::vector< unsigned int > &contourThickness=std::vector< unsigned int >(3, 1), unsigned int sliceDimension=0u, LabelMapContourOverlayImageFilter::ContourTypeType contourType=itk::simple::LabelMapContourOverlayImageFilter::CONTOUR, LabelMapContourOverlayImageFilter::PriorityType priority=itk::simple::LabelMapContourOverlayImageFilter::HIGH_LABEL_ON_TOP, std::vector< uint8_t > colormap=std::vector< uint8_t >()) |
Apply a colormap to the contours (outlines) of each object in a label map and superimpose it on top of the feature image. More... | |
Image | LabelMapMask (const Image &labelMapImage, const Image &featureImage, uint64_t label=1u, double backgroundValue=0, bool negated=false, bool crop=false, const std::vector< unsigned int > &cropBorder=std::vector< unsigned int >(3, 0)) |
Mask and image with a LabelMap . More... | |
Image | LabelMapOverlay (const Image &labelMapImage, const Image &featureImage, double opacity=0.5, std::vector< unsigned char > colormap=std::vector< unsigned char >()) |
Apply a colormap to a label map and superimpose it on an image. More... | |
Image | LabelMapToBinary (const Image &image1, double backgroundValue=0, double foregroundValue=1.0) |
Convert a LabelMap to a binary image. More... | |
Image | LabelMapToLabel (const Image &image1) |
Converts a LabelMap to a labeled image. More... | |
Image | LabelMapToRGB (const Image &image1, std::vector< uint8_t > colormap=std::vector< uint8_t >()) |
Convert a LabelMap to a colored image. More... | |
Image | LabelOverlay (const Image &image, const Image &labelImage, double opacity=0.5, double backgroundValue=0.0, std::vector< uint8_t > colormap=std::vector< uint8_t >()) |
Apply a colormap to a label image and put it on top of the input image. More... | |
Image | LabelToRGB (const Image &image1, double backgroundValue=0.0, std::vector< uint8_t > colormap=std::vector< uint8_t >()) |
Apply a colormap to a label image. More... | |
Image | LabelUniqueLabelMap (const Image &image1, bool reverseOrdering=false) |
Make sure that the objects are not overlapping. More... | |
Transform | LandmarkBasedTransformInitializer (const Transform &transform, const std::vector< double > &fixedLandmarks=std::vector< double >(), const std::vector< double > &movingLandmarks=std::vector< double >(), const std::vector< double > &landmarkWeight=std::vector< double >(), const Image &referenceImage=Image(), unsigned int numberOfControlPoints=4u) |
itk::simple::LandmarkBasedTransformInitializerFilter Procedural Interface More... | |
Image | LandweberDeconvolution (const Image &image1, const Image &image2, double alpha=0.1, int numberOfIterations=1, bool normalize=false, LandweberDeconvolutionImageFilter::BoundaryConditionType boundaryCondition=itk::simple::LandweberDeconvolutionImageFilter::ZERO_FLUX_NEUMANN_PAD, LandweberDeconvolutionImageFilter::OutputRegionModeType outputRegionMode=itk::simple::LandweberDeconvolutionImageFilter::SAME) |
Deconvolve an image using the Landweber deconvolution algorithm. More... | |
Image | Laplacian (const Image &image1, bool useImageSpacing=true) |
itk::simple::LaplacianImageFilter Procedural Interface More... | |
Image | LaplacianRecursiveGaussian (const Image &image1, double sigma=1.0, bool normalizeAcrossScale=false) |
Computes the Laplacian of Gaussian (LoG) of an image. More... | |
Image | LaplacianSegmentationLevelSet (const Image &image1, const Image &image2, double maximumRMSError=0.02, double propagationScaling=1.0, double curvatureScaling=1.0, uint32_t numberOfIterations=1000u, bool reverseExpansionDirection=false) |
Segments structures in images based on a second derivative image features. More... | |
Image | LaplacianSharpening (const Image &image1, bool useImageSpacing=true) |
This filter sharpens an image using a Laplacian. LaplacianSharpening highlights regions of rapid intensity change and therefore highlights or enhances the edges. The result is an image that appears more in focus. More... | |
Image | Less (const Image &image1, const Image &image2, uint8_t backgroundValue=0u, uint8_t foregroundValue=1u) |
Implements pixel-wise generic operation of two images, or of an image and a constant. More... | |
Image | Less (const Image &image1, double constant, uint8_t backgroundValue=0u, uint8_t foregroundValue=1u) |
Image | Less (double constant, const Image &image2, uint8_t backgroundValue=0u, uint8_t foregroundValue=1u) |
Image | LessEqual (const Image &image1, const Image &image2, uint8_t backgroundValue=0u, uint8_t foregroundValue=1u) |
Implements pixel-wise generic operation of two images, or of an image and a constant. More... | |
Image | LessEqual (const Image &image1, double constant, uint8_t backgroundValue=0u, uint8_t foregroundValue=1u) |
Image | LessEqual (double constant, const Image &image2, uint8_t backgroundValue=0u, uint8_t foregroundValue=1u) |
Image | LiThreshold (const Image &image, const Image &maskImage, uint8_t insideValue=1u, uint8_t outsideValue=0u, uint32_t numberOfHistogramBins=256u, bool maskOutput=true, uint8_t maskValue=255u) |
Threshold an image using the Li Threshold. More... | |
Image | LiThreshold (const Image &image, uint8_t insideValue=1u, uint8_t outsideValue=0u, uint32_t numberOfHistogramBins=256u, bool maskOutput=true, uint8_t maskValue=255u) |
Image | Log (const Image &image1) |
Computes the log() of each pixel. More... | |
Image | Log10 (const Image &image1) |
Computes the log10 of each pixel. More... | |
Image | MagnitudeAndPhaseToComplex (const Image &image1, const Image &image2) |
Implements pixel-wise conversion of magnitude and phase data into complex voxels. More... | |
Image | MagnitudeAndPhaseToComplex (const Image &image1, double constant) |
Image | MagnitudeAndPhaseToComplex (double constant, const Image &image2) |
Image | Mask (const Image &image, const Image &maskImage, double outsideValue=0, double maskingValue=0) |
Mask an image with a mask. More... | |
Image | MaskedFFTNormalizedCorrelation (const Image &fixedImage, const Image &movingImage, const Image &fixedImageMask, const Image &movingImageMask, uint64_t requiredNumberOfOverlappingPixels=0u, float requiredFractionOfOverlappingPixels=0.0) |
Calculate masked normalized cross correlation using FFTs. More... | |
Image | MaskNegated (const Image &image, const Image &maskImage, double outsideValue=0, double maskingValue=0) |
Mask an image with the negation (or logical compliment) of a mask. More... | |
Image | Maximum (const Image &image1, const Image &image2) |
Implements a pixel-wise operator Max(a,b) between two images. More... | |
Image | Maximum (const Image &image1, double constant) |
Image | Maximum (double constant, const Image &image2) |
Image | MaximumEntropyThreshold (const Image &image, const Image &maskImage, uint8_t insideValue=1u, uint8_t outsideValue=0u, uint32_t numberOfHistogramBins=256u, bool maskOutput=true, uint8_t maskValue=255u) |
Threshold an image using the MaximumEntropy Threshold. More... | |
Image | MaximumEntropyThreshold (const Image &image, uint8_t insideValue=1u, uint8_t outsideValue=0u, uint32_t numberOfHistogramBins=256u, bool maskOutput=true, uint8_t maskValue=255u) |
Image | MaximumProjection (const Image &image1, unsigned int projectionDimension=0u) |
Maximum projection. More... | |
Image | Mean (const Image &image1, const std::vector< unsigned int > &radius=std::vector< unsigned int >(3, 1)) |
Applies an averaging filter to an image. More... | |
Image | MeanProjection (const Image &image1, unsigned int projectionDimension=0u) |
Mean projection. More... | |
Image | Median (const Image &image1, const std::vector< unsigned int > &radius=std::vector< unsigned int >(3, 1)) |
Applies a median filter to an image. More... | |
Image | MedianProjection (const Image &image1, unsigned int projectionDimension=0u) |
Median projection. More... | |
Image | Minimum (const Image &image1, const Image &image2) |
Implements a pixel-wise operator Min(a,b) between two images. More... | |
Image | Minimum (const Image &image1, double constant) |
Image | Minimum (double constant, const Image &image2) |
Image | MinimumProjection (const Image &image1, unsigned int projectionDimension=0u) |
Minimum projection. More... | |
Image | MinMaxCurvatureFlow (const Image &image1, double timeStep=0.05, uint32_t numberOfIterations=5u, int stencilRadius=2) |
Denoise an image using min/max curvature flow. More... | |
Image | MirrorPad (const Image &image1, const std::vector< unsigned int > &padLowerBound=std::vector< unsigned int >(3, 0), const std::vector< unsigned int > &padUpperBound=std::vector< unsigned int >(3, 0)) |
Increase the image size by padding with replicants of the input image value. More... | |
Image | Modulus (const Image &image1, const Image &image2) |
Computes the modulus (x % dividend) pixel-wise. More... | |
Image | Modulus (const Image &image1, uint32_t constant) |
Image | Modulus (uint32_t constant, const Image &image2) |
Image | MomentsThreshold (const Image &image, const Image &maskImage, uint8_t insideValue=1u, uint8_t outsideValue=0u, uint32_t numberOfHistogramBins=256u, bool maskOutput=true, uint8_t maskValue=255u) |
Threshold an image using the Moments Threshold. More... | |
Image | MomentsThreshold (const Image &image, uint8_t insideValue=1u, uint8_t outsideValue=0u, uint32_t numberOfHistogramBins=256u, bool maskOutput=true, uint8_t maskValue=255u) |
Image | MorphologicalGradient (const Image &, uint32_t radius=1, KernelEnum kernel=sitkBall) |
Image | MorphologicalGradient (const Image &, const std::vector< uint32_t > vectorRadius, KernelEnum kernel=sitkBall) |
Image | MorphologicalWatershed (const Image &image1, double level=0.0, bool markWatershedLine=true, bool fullyConnected=false) |
Watershed segmentation implementation with morphogical operators. More... | |
Image | MorphologicalWatershedFromMarkers (const Image &image, const Image &markerImage, bool markWatershedLine=true, bool fullyConnected=false) |
Morphological watershed transform from markers. More... | |
Image | Multiply (const Image &image1, const Image &image2) |
Pixel-wise multiplication of two images. More... | |
Image | Multiply (const Image &image1, double constant) |
Image | Multiply (double constant, const Image &image2) |
Image | N4BiasFieldCorrection (const Image &image, const Image &maskImage, double convergenceThreshold=0.001, std::vector< uint32_t > maximumNumberOfIterations=std::vector< uint32_t >(4, 50), double biasFieldFullWidthAtHalfMaximum=0.15, double wienerFilterNoise=0.01, uint32_t numberOfHistogramBins=200u, const std::vector< uint32_t > &numberOfControlPoints=std::vector< uint32_t >(3, 4), uint32_t splineOrder=3u, bool useMaskLabel=true, uint8_t maskLabel=1) |
Implementation of the N4 bias field correction algorithm. More... | |
Image | N4BiasFieldCorrection (const Image &image, double convergenceThreshold=0.001, std::vector< uint32_t > maximumNumberOfIterations=std::vector< uint32_t >(4, 50), double biasFieldFullWidthAtHalfMaximum=0.15, double wienerFilterNoise=0.01, uint32_t numberOfHistogramBins=200u, const std::vector< uint32_t > &numberOfControlPoints=std::vector< uint32_t >(3, 4), uint32_t splineOrder=3u, bool useMaskLabel=true, uint8_t maskLabel=1) |
Image | NeighborhoodConnected (const Image &image1, const std::vector< std::vector< unsigned int > > &seedList, double lower=0, double upper=1, const std::vector< unsigned int > &radius=std::vector< unsigned int >(3, 1), double replaceValue=1) |
Image | Noise (const Image &image1, const std::vector< unsigned int > &radius=std::vector< unsigned int >(3, 1)) |
Calculate the local noise in an image. More... | |
Image | Normalize (const Image &image1) |
Normalize an image by setting its mean to zero and variance to one. More... | |
Image | NormalizedCorrelation (const Image &image, const Image &maskImage, const Image &templateImage) |
Computes the normalized correlation of an image and a template. More... | |
Image | NormalizeToConstant (const Image &image1, double constant=1.0) |
Scales image pixel intensities to make the sum of all pixels equal a user-defined constant. More... | |
Image | Not (const Image &image1) |
Implements the NOT logical operator pixel-wise on an image. More... | |
Image | NotEqual (const Image &image1, const Image &image2, uint8_t backgroundValue=0u, uint8_t foregroundValue=1u) |
Implements pixel-wise generic operation of two images, or of an image and a constant. More... | |
Image | NotEqual (const Image &image1, double constant, uint8_t backgroundValue=0u, uint8_t foregroundValue=1u) |
Image | NotEqual (double constant, const Image &image2, uint8_t backgroundValue=0u, uint8_t foregroundValue=1u) |
Image | ObjectnessMeasure (const Image &image1, double alpha=0.5, double beta=0.5, double gamma=5, bool scaleObjectnessMeasure=true, unsigned int objectDimension=1u, bool brightObject=true) |
Enhance M-dimensional objects in N-dimensional images. More... | |
Image | OpeningByReconstruction (const Image &, uint32_t radius=1, KernelEnum kernel=sitkBall, bool fullyConnected=false, bool preserveIntensities=false) |
Image | OpeningByReconstruction (const Image &, const std::vector< uint32_t > vectorRadius, KernelEnum kernel=sitkBall, bool fullyConnected=false, bool preserveIntensities=false) |
SITKCommon_EXPORT std::ostream & | operator<< (std::ostream &os, const KernelEnum k) |
template<typename T > | |
SITKCommon_HIDDEN std::ostream & | operator<< (std::ostream &os, const std::vector< T > &v) |
Output the element of an std::vector to the output stream. More... | |
SITKCommon_EXPORT std::ostream & | operator<< (std::ostream &os, const EventEnum k) |
SITKCommon_EXPORT std::ostream & | operator<< (std::ostream &os, const InterpolatorEnum i) |
SITKCommon_EXPORT std::ostream & | operator<< (std::ostream &os, const PixelIDValueEnum id) |
Image | Or (const Image &image1, const Image &image2) |
Implements the OR bitwise operator pixel-wise between two images. More... | |
Image | Or (const Image &image1, int constant) |
Image | Or (int constant, const Image &image2) |
Image | OtsuMultipleThresholds (const Image &image1, uint8_t numberOfThresholds=1u, uint8_t labelOffset=0u, uint32_t numberOfHistogramBins=128u, bool valleyEmphasis=false) |
Threshold an image using multiple Otsu Thresholds. More... | |
Image | OtsuThreshold (const Image &image, const Image &maskImage, uint8_t insideValue=1u, uint8_t outsideValue=0u, uint32_t numberOfHistogramBins=128u, bool maskOutput=true, uint8_t maskValue=255u) |
Threshold an image using the Otsu Threshold. More... | |
Image | OtsuThreshold (const Image &image, uint8_t insideValue=1u, uint8_t outsideValue=0u, uint32_t numberOfHistogramBins=128u, bool maskOutput=true, uint8_t maskValue=255u) |
Image | Paste (const Image &destinationImage, const Image &sourceImage, const std::vector< unsigned int > &sourceSize=std::vector< unsigned int >(3, 1), const std::vector< int > &sourceIndex=std::vector< int >(3, 0), const std::vector< int > &destinationIndex=std::vector< int >(3, 0)) |
Paste an image into another image. More... | |
Image | PatchBasedDenoising (const Image &image1, itk::simple::PatchBasedDenoisingImageFilter::NoiseModelType noiseModel, double kernelBandwidthSigma=400.0, uint32_t patchRadius=4u, uint32_t numberOfIterations=1u, uint32_t numberOfSamplePatches=200u, double sampleVariance=400.0, double noiseSigma=0.0, double noiseModelFidelityWeight=0.0) |
itk::simple::PatchBasedDenoisingImageFilter Procedural Interface More... | |
Image | PatchBasedDenoising (const Image &image1, double kernelBandwidthSigma=400.0, uint32_t patchRadius=4u, uint32_t numberOfIterations=1u, uint32_t numberOfSamplePatches=200u, double sampleVariance=400.0) |
Image | PermuteAxes (const Image &image1, const std::vector< unsigned int > &order=std::vector< unsigned int >(&itk::simple::PermuteAxesImageFilter::DefaultOrder[0],&itk::simple::PermuteAxesImageFilter::DefaultOrder[3])) |
Permutes the image axes according to a user specified order. More... | |
Image | PhysicalPointSource (PixelIDValueEnum outputPixelType=itk::simple::sitkVectorFloat32, const std::vector< unsigned int > &size=std::vector< unsigned int >(3, 64), const std::vector< double > &origin=std::vector< double >(3, 0.0), const std::vector< double > &spacing=std::vector< double >(3, 1.0), std::vector< double > direction=std::vector< double >()) |
Generate an image of the physical locations of each pixel. More... | |
Image | Pow (const Image &image1, const Image &image2) |
Computes the powers of 2 images. More... | |
Image | Pow (const Image &image1, double constant) |
Image | Pow (double constant, const Image &image2) |
Image | ProjectedLandweberDeconvolution (const Image &image1, const Image &image2, double alpha=0.1, int numberOfIterations=1, bool normalize=false, ProjectedLandweberDeconvolutionImageFilter::BoundaryConditionType boundaryCondition=itk::simple::ProjectedLandweberDeconvolutionImageFilter::ZERO_FLUX_NEUMANN_PAD, ProjectedLandweberDeconvolutionImageFilter::OutputRegionModeType outputRegionMode=itk::simple::ProjectedLandweberDeconvolutionImageFilter::SAME) |
Deconvolve an image using the projected Landweber deconvolution algorithm. More... | |
Image | Rank (const Image &image1, double rank=0.5, const std::vector< unsigned int > &radius=std::vector< unsigned int >(3, 1)) |
Rank filter of a greyscale image. More... | |
SITKIO_EXPORT Image | ReadImage (const std::vector< std::string > &fileNames, PixelIDValueEnum outputPixelType=sitkUnknown, const std::string &imageIO="") |
ReadImage is a procedural interface to the ImageSeriesReader class which is convenient for most image reading tasks. More... | |
SITKIO_EXPORT Image | ReadImage (const std::string &filename, PixelIDValueEnum outputPixelType=sitkUnknown, const std::string &imageIO="") |
ReadImage is a procedural interface to the ImageFileReader class which is convenient for most image reading tasks. More... | |
SITKCommon_EXPORT Transform | ReadTransform (const std::string &filename) |
Image | RealAndImaginaryToComplex (const Image &image1, const Image &image2) |
ComposeImageFilter combine several scalar images into a multicomponent image. More... | |
Image | RealToHalfHermitianForwardFFT (const Image &image1) |
Base class for specialized real-to-complex forward Fast Fourier Transform . More... | |
Image | ReconstructionByDilation (const Image &image1, const Image &image2, bool fullyConnected=false, bool useInternalCopy=true) |
grayscale reconstruction by dilation of an image More... | |
Image | ReconstructionByErosion (const Image &image1, const Image &image2, bool fullyConnected=false, bool useInternalCopy=true) |
grayscale reconstruction by erosion of an image More... | |
Image | RecursiveGaussian (const Image &image1, double sigma=1.0, bool normalizeAcrossScale=false, RecursiveGaussianImageFilter::OrderType order=itk::simple::RecursiveGaussianImageFilter::ZeroOrder, unsigned int direction=0u) |
Base class for computing IIR convolution with an approximation of a Gaussian kernel. More... | |
Image | RegionalMaxima (const Image &image1, double backgroundValue=0.0, double foregroundValue=1.0, bool fullyConnected=false, bool flatIsMaxima=true) |
Produce a binary image where foreground is the regional maxima of the input image. More... | |
Image | RegionalMinima (const Image &image1, double backgroundValue=0.0, double foregroundValue=1.0, bool fullyConnected=false, bool flatIsMinima=true) |
Produce a binary image where foreground is the regional minima of the input image. More... | |
Image | RegionOfInterest (const Image &image1, const std::vector< unsigned int > &size=std::vector< unsigned int >(3, 1), const std::vector< int > &index=std::vector< int >(3, 0)) |
Extract a region of interest from the input image. More... | |
Image | RelabelComponent (const Image &image1, uint64_t minimumObjectSize=0u, bool sortByObjectSize=true) |
Relabel the components in an image such that consecutive labels are used. More... | |
Image | RelabelLabelMap (const Image &image1, bool reverseOrdering=true) |
This filter relabels the LabelObjects; the new labels are arranged consecutively with consideration for the background value. More... | |
Image | RenyiEntropyThreshold (const Image &image, const Image &maskImage, uint8_t insideValue=1u, uint8_t outsideValue=0u, uint32_t numberOfHistogramBins=256u, bool maskOutput=true, uint8_t maskValue=255u) |
Threshold an image using the RenyiEntropy Threshold. More... | |
Image | RenyiEntropyThreshold (const Image &image, uint8_t insideValue=1u, uint8_t outsideValue=0u, uint32_t numberOfHistogramBins=256u, bool maskOutput=true, uint8_t maskValue=255u) |
Image | RescaleIntensity (const Image &image1, double outputMinimum=0, double outputMaximum=255) |
Applies a linear transformation to the intensity levels of the input Image . More... | |
Image | RichardsonLucyDeconvolution (const Image &image1, const Image &image2, int numberOfIterations=1, bool normalize=false, RichardsonLucyDeconvolutionImageFilter::BoundaryConditionType boundaryCondition=itk::simple::RichardsonLucyDeconvolutionImageFilter::ZERO_FLUX_NEUMANN_PAD, RichardsonLucyDeconvolutionImageFilter::OutputRegionModeType outputRegionMode=itk::simple::RichardsonLucyDeconvolutionImageFilter::SAME) |
Deconvolve an image using the Richardson-Lucy deconvolution algorithm. More... | |
Image | Round (const Image &image1) |
Rounds the value of each pixel. More... | |
Image | SaltAndPepperNoise (const Image &image1, double probability=0.01, uint32_t seed=(uint32_t) itk::simple::sitkWallClock) |
Alter an image with fixed value impulse noise, often called salt and pepper noise. More... | |
Image | ScalarChanAndVeseDenseLevelSet (const Image &image1, const Image &image2, double maximumRMSError=0.02, uint32_t numberOfIterations=1000u, double lambda1=1.0, double lambda2=1.0, double epsilon=1.0, double curvatureWeight=1.0, double areaWeight=0.0, double reinitializationSmoothingWeight=0.0, double volume=0.0, double volumeMatchingWeight=0.0, ScalarChanAndVeseDenseLevelSetImageFilter::HeavisideStepFunctionType heavisideStepFunction=itk::simple::ScalarChanAndVeseDenseLevelSetImageFilter::AtanRegularizedHeaviside, bool useImageSpacing=true) |
Dense implementation of the Chan and Vese multiphase level set image filter. More... | |
Image | ScalarConnectedComponent (const Image &image, const Image &maskImage, double distanceThreshold=0.0, bool fullyConnected=false) |
A connected components filter that labels the objects in an arbitrary image. Two pixels are similar if they are within threshold of each other. Uses ConnectedComponentFunctorImageFilter . More... | |
Image | ScalarConnectedComponent (const Image &image, double distanceThreshold=0.0, bool fullyConnected=false) |
Image | ScalarImageKmeans (const Image &image1, std::vector< double > classWithInitialMean=std::vector< double >(), bool useNonContiguousLabels=false) |
Classifies the intensity values of a scalar image using the K-Means algorithm. More... | |
Image | ScalarToRGBColormap (const Image &image1, ScalarToRGBColormapImageFilter::ColormapType colormap=itk::simple::ScalarToRGBColormapImageFilter::Grey, bool useInputImageExtremaForScaling=true) |
Implements pixel-wise intensity->rgb mapping operation on one image. More... | |
Image | ShanbhagThreshold (const Image &image, const Image &maskImage, uint8_t insideValue=1u, uint8_t outsideValue=0u, uint32_t numberOfHistogramBins=256u, bool maskOutput=true, uint8_t maskValue=255u) |
Threshold an image using the Shanbhag Threshold. More... | |
Image | ShanbhagThreshold (const Image &image, uint8_t insideValue=1u, uint8_t outsideValue=0u, uint32_t numberOfHistogramBins=256u, bool maskOutput=true, uint8_t maskValue=255u) |
Image | ShapeDetectionLevelSet (const Image &image1, const Image &image2, double maximumRMSError=0.02, double propagationScaling=1.0, double curvatureScaling=1.0, uint32_t numberOfIterations=1000u, bool reverseExpansionDirection=false) |
Segments structures in images based on a user supplied edge potential map. More... | |
Image | ShiftScale (const Image &image1, double shift=0, double scale=1.0) |
Shift and scale the pixels in an image. More... | |
Image | ShotNoise (const Image &image1, double scale=1.0, uint32_t seed=(uint32_t) itk::simple::sitkWallClock) |
Alter an image with shot noise. More... | |
void SITKIO_EXPORT | Show (const Image &image, const std::string &title="", const bool debugOn=ProcessObject::GetGlobalDefaultDebug()) |
Image | Shrink (const Image &image1, const std::vector< unsigned int > &shrinkFactors=std::vector< unsigned int >(3, 1)) |
Reduce the size of an image by an integer factor in each dimension. More... | |
Image | Sigmoid (const Image &image1, double alpha=1, double beta=0, double outputMaximum=255, double outputMinimum=0) |
Computes the sigmoid function pixel-wise. More... | |
Image | SignedDanielssonDistanceMap (const Image &image1, bool insideIsPositive=false, bool squaredDistance=false, bool useImageSpacing=false) |
itk::simple::SignedDanielssonDistanceMapImageFilter Procedural Interface More... | |
Image | SignedMaurerDistanceMap (const Image &image1, bool insideIsPositive=false, bool squaredDistance=true, bool useImageSpacing=false, double backgroundValue=0.0) |
This filter calculates the Euclidean distance transform of a binary image in linear time for arbitrary dimensions. More... | |
Image | SimpleContourExtractor (const Image &image1, double inputForegroundValue=1.0, double inputBackgroundValue=0.0, const std::vector< unsigned int > &radius=std::vector< unsigned int >(3, 1), double outputForegroundValue=1.0, double outputBackgroundValue=0.0) |
Computes an image of contours which will be the contour of the first image. More... | |
Image | Sin (const Image &image1) |
Computes the sine of each pixel. More... | |
template<typename TDirectionType > | |
std::vector< double > SITKCommon_HIDDEN | sitkITKDirectionToSTL (const TDirectionType &d) |
template<unsigned int VImageDimension> | |
std::vector< unsigned int > SITKCommon_HIDDEN | sitkITKImageRegionToSTL (const ImageRegion< VImageDimension > &in) |
Convert an ITK ImageRegion to and std::vector with the first part being the start index followed by the size. More... | |
template<typename TType , typename TITKVector > | |
std::vector< TType > SITKCommon_HIDDEN | sitkITKVectorToSTL (const TITKVector &in) |
Convert an ITK fixed width vector to a std::vector. More... | |
template<typename TType , typename TITKVector > | |
std::vector< TType > SITKCommon_HIDDEN | sitkITKVectorToSTL (const std::vector< TITKVector > &in) |
template<typename TType , typename T > | |
std::vector< TType > SITKCommon_HIDDEN | sitkITKVersorToSTL (const itk::Versor< T > &in) |
template<typename TDirectionType > | |
TDirectionType SITKCommon_HIDDEN | sitkSTLToITKDirection (const std::vector< double > &direction) |
template<typename TITKVector , typename TType > | |
TITKVector SITKCommon_HIDDEN | sitkSTLVectorToITK (const std::vector< TType > &in) |
Copy the elements of an std::vector into an ITK fixed width vector. More... | |
template<typename TITKPointVector , typename TType > | |
TITKPointVector SITKCommon_HIDDEN | sitkSTLVectorToITKPointVector (const std::vector< TType > &in) |
template<typename T , typename TType > | |
itk::Versor< T > SITKCommon_HIDDEN | sitkSTLVectorToITKVersor (const std::vector< TType > &in) |
template<typename TType , typename TVectorOfITKVector > | |
std::vector< TType > SITKCommon_HIDDEN | sitkVectorOfITKVectorToSTL (const TVectorOfITKVector &in) |
Convert an ITK style array of ITK fixed witdth vector to std::vector. More... | |
Image | SLIC (const Image &image1, const std::vector< unsigned int > &superGridSize=std::vector< unsigned int >(3, 50), double spatialProximityWeight=10.0, uint32_t maximumNumberOfIterations=5u, bool enforceConnectivity=true, bool initializationPerturbation=true) |
Simple Linear Iterative Clustering (SLIC) super-pixel segmentation. More... | |
Image | Slice (const Image &image1, const std::vector< int32_t > &start=std::vector< int32_t >(3, 0), const std::vector< int32_t > &stop=std::vector< int32_t >(3, std::numeric_limits< int32_t >::max()), const std::vector< int > &step=std::vector< int >(3, 1)) |
Slices an image based on a starting index and a stopping index, and a step size. More... | |
Image | SmoothingRecursiveGaussian (const Image &image1, double sigma, bool normalizeAcrossScale=false) |
Computes the smoothing of an image by convolution with the Gaussian kernels implemented as IIR filters. More... | |
Image | SmoothingRecursiveGaussian (const Image &image1, const std::vector< double > &sigma=std::vector< double >(3, 1.0), bool normalizeAcrossScale=false) |
Computes the smoothing of an image by convolution with the Gaussian kernels implemented as IIR filters. More... | |
Image | SobelEdgeDetection (const Image &image1) |
A 2D or 3D edge detection using the Sobel operator. More... | |
Image | SpeckleNoise (const Image &image1, double standardDeviation=1.0, uint32_t seed=(uint32_t) itk::simple::sitkWallClock) |
Alter an image with speckle (multiplicative) noise. More... | |
Image | Sqrt (const Image &image1) |
Computes the square root of each pixel. More... | |
Image | Square (const Image &image1) |
Computes the square of the intensity values pixel-wise. More... | |
Image | SquaredDifference (const Image &image1, const Image &image2) |
Implements pixel-wise the computation of squared difference. More... | |
Image | SquaredDifference (const Image &image1, double constant) |
Image | SquaredDifference (double constant, const Image &image2) |
Image | StandardDeviationProjection (const Image &image1, unsigned int projectionDimension=0u) |
Mean projection. More... | |
Image | StochasticFractalDimension (const Image &image, const Image &maskImage, const std::vector< unsigned int > &neighborhoodRadius=std::vector< unsigned int >(3, 2u)) |
This filter computes the stochastic fractal dimension of the input image. More... | |
Image | StochasticFractalDimension (const Image &image, const std::vector< unsigned int > &neighborhoodRadius=std::vector< unsigned int >(3, 2u)) |
Image | Subtract (const Image &image1, const Image &image2) |
Pixel-wise subtraction of two images. More... | |
Image | Subtract (const Image &image1, double constant) |
Image | Subtract (double constant, const Image &image2) |
Image | SumProjection (const Image &image1, unsigned int projectionDimension=0u) |
Sum projection. More... | |
Image | Tan (const Image &image1) |
Computes the tangent of each input pixel. More... | |
Image | TernaryAdd (const Image &image1, const Image &image2, const Image &image3) |
Pixel-wise addition of three images. More... | |
Image | TernaryMagnitude (const Image &image1, const Image &image2, const Image &image3) |
Compute the pixel-wise magnitude of three images. More... | |
Image | TernaryMagnitudeSquared (const Image &image1, const Image &image2, const Image &image3) |
Compute the pixel-wise squared magnitude of three images. More... | |
Image | Threshold (const Image &image1, double lower=0.0, double upper=1.0, double outsideValue=0.0) |
Set image values to a user-specified value if they are below, above, or between simple threshold values. More... | |
Image | ThresholdMaximumConnectedComponents (const Image &image1, uint32_t minimumObjectSizeInPixels=0u, double upperBoundary=std::numeric_limits< double >::max(), uint8_t insideValue=1u, uint8_t outsideValue=0u) |
Finds the threshold value of an image based on maximizing the number of objects in the image that are larger than a given minimal size. More... | |
Image | ThresholdSegmentationLevelSet (const Image &image1, const Image &image2, double lowerThreshold=0.0, double upperThreshold=255.0, double maximumRMSError=0.02, double propagationScaling=1.0, double curvatureScaling=1.0, uint32_t numberOfIterations=1000u, bool reverseExpansionDirection=false) |
Segments structures in images based on intensity values. More... | |
Image | TikhonovDeconvolution (const Image &image1, const Image &image2, double regularizationConstant=0.0, bool normalize=false, TikhonovDeconvolutionImageFilter::BoundaryConditionType boundaryCondition=itk::simple::TikhonovDeconvolutionImageFilter::ZERO_FLUX_NEUMANN_PAD, TikhonovDeconvolutionImageFilter::OutputRegionModeType outputRegionMode=itk::simple::TikhonovDeconvolutionImageFilter::SAME) |
An inverse deconvolution filter regularized in the Tikhonov sense. More... | |
Image | Toboggan (const Image &image1) |
toboggan image segmentation The Toboggan segmentation takes a gradient magnitude image as input and produces an (over-)segmentation of the image based on connecting each pixel to a local minimum of gradient. It is roughly equivalent to a watershed segmentation of the lowest level. More... | |
Image | TransformToDisplacementField (const Transform &transform, PixelIDValueEnum outputPixelType=itk::simple::sitkVectorFloat64, const std::vector< unsigned int > &size=std::vector< unsigned int >(3, 64), const std::vector< double > &outputOrigin=std::vector< double >(3, 0.0), const std::vector< double > &outputSpacing=std::vector< double >(3, 1.0), std::vector< double > outputDirection=std::vector< double >()) |
Generate a displacement field from a coordinate transform. More... | |
Image | TriangleThreshold (const Image &image, const Image &maskImage, uint8_t insideValue=1u, uint8_t outsideValue=0u, uint32_t numberOfHistogramBins=256u, bool maskOutput=true, uint8_t maskValue=255u) |
Threshold an image using the Triangle Threshold. More... | |
Image | TriangleThreshold (const Image &image, uint8_t insideValue=1u, uint8_t outsideValue=0u, uint32_t numberOfHistogramBins=256u, bool maskOutput=true, uint8_t maskValue=255u) |
Image | UnaryMinus (const Image &image1) |
Implements pixel-wise generic operation on one image. More... | |
Image | UnsharpMask (const Image &image1, const std::vector< double > &sigmas=std::vector< double >(3, 1.0), double amount=0.5, double threshold=0.0) |
Edge enhancement filter. More... | |
template<typename T > | |
void SITKCommon_HIDDEN | Unused (const T &) |
A function which does nothing. More... | |
Image | ValuedRegionalMaxima (const Image &image1, bool fullyConnected=false) |
Transforms the image so that any pixel that is not a regional maxima is set to the minimum value for the pixel type. Pixels that are regional maxima retain their value. More... | |
Image | ValuedRegionalMinima (const Image &image1, bool fullyConnected=false) |
Transforms the image so that any pixel that is not a regional minima is set to the maximum value for the pixel type. Pixels that are regional minima retain their value. More... | |
Image | VectorConfidenceConnected (const Image &image1, const std::vector< std::vector< unsigned int > > &seedList, unsigned int numberOfIterations=4u, double multiplier=4.5, unsigned int initialNeighborhoodRadius=1u, uint8_t replaceValue=1u) |
Image | VectorConnectedComponent (const Image &image1, double distanceThreshold=1.0, bool fullyConnected=false) |
A connected components filter that labels the objects in a vector image. Two vectors are pointing similar directions if one minus their dot product is less than a threshold. Vectors that are 180 degrees out of phase are similar. Assumes that vectors are normalized. More... | |
Image | VectorIndexSelectionCast (const Image &image1, unsigned int index=0u, PixelIDValueEnum outputPixelType=itk::simple::sitkUnknown) |
Extracts the selected index of the vector that is the input pixel type. More... | |
Image | VectorMagnitude (const Image &image1) |
Take an image of vectors as input and produce an image with the magnitude of those vectors. More... | |
Image | VotingBinary (const Image &image1, const std::vector< unsigned int > &radius=std::vector< unsigned int >(3, 1), unsigned int birthThreshold=1u, unsigned int survivalThreshold=1u, double foregroundValue=1.0, double backgroundValue=0.0) |
Applies a voting operation in a neighborhood of each pixel. More... | |
Image | VotingBinaryHoleFilling (const Image &image1, const std::vector< unsigned int > &radius=std::vector< unsigned int >(3, 1), unsigned int majorityThreshold=1u, double foregroundValue=1.0, double backgroundValue=0.0) |
Fills in holes and cavities by applying a voting operation on each pixel. More... | |
Image | VotingBinaryIterativeHoleFilling (const Image &image1, const std::vector< unsigned int > &radius=std::vector< unsigned int >(3, 1), unsigned int maximumNumberOfIterations=10u, unsigned int majorityThreshold=1u, double foregroundValue=1.0, double backgroundValue=0.0) |
Fills in holes and cavities by iteratively applying a voting operation. More... | |
Image | Warp (const Image &image, const Image &displacementField, InterpolatorEnum interpolator=itk::simple::sitkLinear, const std::vector< uint32_t > &outputSize=std::vector< uint32_t >(3, 0), const std::vector< double > &outputOrigin=std::vector< double >(3, 0.0), const std::vector< double > &outputSpacing=std::vector< double >(3, 1.0), std::vector< double > outputDirection=std::vector< double >(), double edgePaddingValue=0.0) |
Warps an image using an input displacement field. More... | |
Image | WhiteTopHat (const Image &, uint32_t radius=1, KernelEnum kernel=sitkBall, bool safeBorder=true) |
Image | WhiteTopHat (const Image &, const std::vector< uint32_t > vectorRadius, KernelEnum kernel=sitkBall, bool safeBorder=true) |
Image | WienerDeconvolution (const Image &image1, const Image &image2, double noiseVariance=0.0, bool normalize=false, WienerDeconvolutionImageFilter::BoundaryConditionType boundaryCondition=itk::simple::WienerDeconvolutionImageFilter::ZERO_FLUX_NEUMANN_PAD, WienerDeconvolutionImageFilter::OutputRegionModeType outputRegionMode=itk::simple::WienerDeconvolutionImageFilter::SAME) |
The Wiener deconvolution image filter is designed to restore an image convolved with a blurring kernel while keeping noise enhancement to a minimum. More... | |
Image | WrapPad (const Image &image1, const std::vector< unsigned int > &padLowerBound=std::vector< unsigned int >(3, 0), const std::vector< unsigned int > &padUpperBound=std::vector< unsigned int >(3, 0)) |
Increase the image size by padding with replicants of the input image value. More... | |
SITKIO_EXPORT void | WriteImage (const Image &image, const std::vector< std::string > &fileNames, bool useCompression=false) |
SITKIO_EXPORT void | WriteImage (const Image &image, const std::string &fileName, bool useCompression=false) |
SITKCommon_EXPORT void | WriteTransform (const Transform &transform, const std::string &filename) |
Image | Xor (const Image &image1, const Image &image2) |
Computes the XOR bitwise operator pixel-wise between two images. More... | |
Image | Xor (const Image &image1, int constant) |
Image | Xor (int constant, const Image &image2) |
Image | YenThreshold (const Image &image, const Image &maskImage, uint8_t insideValue=1u, uint8_t outsideValue=0u, uint32_t numberOfHistogramBins=256u, bool maskOutput=true, uint8_t maskValue=255u) |
Threshold an image using the Yen Threshold. More... | |
Image | YenThreshold (const Image &image, uint8_t insideValue=1u, uint8_t outsideValue=0u, uint32_t numberOfHistogramBins=256u, bool maskOutput=true, uint8_t maskValue=255u) |
Image | ZeroCrossing (const Image &image1, uint8_t foregroundValue=1u, uint8_t backgroundValue=0u) |
This filter finds the closest pixel to the zero-crossings (sign changes) in a signed itk::Image . More... | |
Image | ZeroCrossingBasedEdgeDetection (const Image &image1, double variance=1, uint8_t foregroundValue=1u, uint8_t backgroundValue=0u, double maximumError=0.1) |
This filter implements a zero-crossing based edge detecor. More... | |
Image | ZeroFluxNeumannPad (const Image &image1, const std::vector< unsigned int > &padLowerBound=std::vector< unsigned int >(3, 0), const std::vector< unsigned int > &padUpperBound=std::vector< unsigned int >(3, 0)) |
Increase the image size by padding according to the zero-flux Neumann boundary condition. More... | |
Image | Resample (const Image &image1, Transform transform=itk::simple::Transform(), InterpolatorEnum interpolator=itk::simple::sitkLinear, double defaultPixelValue=0.0, PixelIDValueEnum outputPixelType=sitkUnknown) |
itk::simple::ResampleImageFilter Procedural Interface More... | |
Image | Resample (const Image &image1, const Image &referenceImage, Transform transform=itk::simple::Transform(), InterpolatorEnum interpolator=itk::simple::sitkLinear, double defaultPixelValue=0.0, PixelIDValueEnum outputPixelType=sitkUnknown) |
itk::simple::ResampleImageFilter Procedural Interface More... | |
Image | Resample (const Image &image1, std::vector< uint32_t > size, Transform transform=itk::simple::Transform(), InterpolatorEnum interpolator=itk::simple::sitkLinear, std::vector< double > outputOrigin=std::vector< double >(3, 0.0), std::vector< double > outputSpacing=std::vector< double >(3, 1.0), std::vector< double > outputDirection=std::vector< double >(), double defaultPixelValue=0.0, PixelIDValueEnum outputPixelType=sitkUnknown) |
itk::simple::ResampleImageFilter Procedural Interface More... | |
Image | operator+ (const Image &img1, const Image &img2) |
Performs the operator on a per pixel basis. More... | |
Image | operator+ (const Image &img, double s) |
Performs the operator on a per pixel basis. More... | |
Image | operator+ (double s, const Image &img) |
Performs the operator on a per pixel basis. More... | |
Image | operator- (const Image &img1, const Image &img2) |
Performs the operator on a per pixel basis. More... | |
Image | operator- (const Image &img, double s) |
Performs the operator on a per pixel basis. More... | |
Image | operator- (double s, const Image &img) |
Performs the operator on a per pixel basis. More... | |
Image | operator* (const Image &img1, const Image &img2) |
Performs the operator on a per pixel basis. More... | |
Image | operator* (const Image &img, double s) |
Performs the operator on a per pixel basis. More... | |
Image | operator* (double s, const Image &img) |
Performs the operator on a per pixel basis. More... | |
Image | operator/ (const Image &img1, const Image &img2) |
Performs the operator on a per pixel basis. More... | |
Image | operator/ (const Image &img, double s) |
Performs the operator on a per pixel basis. More... | |
Image | operator/ (double s, const Image &img) |
Performs the operator on a per pixel basis. More... | |
Image | operator% (const Image &img1, const Image &img2) |
Performs the operator on a per pixel basis. More... | |
Image | operator% (const Image &img, uint32_t s) |
Performs the operator on a per pixel basis. More... | |
Image | operator% (uint32_t s, const Image &img) |
Performs the operator on a per pixel basis. More... | |
Image | operator- (const Image &img) |
Performs the operator on a per pixel basis. More... | |
Image | operator~ (const Image &img) |
Performs the operator on a per pixel basis. More... | |
Image | operator& (const Image &img1, const Image &img2) |
Performs the operator on a per pixel basis. More... | |
Image | operator& (const Image &img, int s) |
Performs the operator on a per pixel basis. More... | |
Image | operator& (int s, const Image &img) |
Performs the operator on a per pixel basis. More... | |
Image | operator| (const Image &img1, const Image &img2) |
Performs the operator on a per pixel basis. More... | |
Image | operator| (const Image &img, int s) |
Performs the operator on a per pixel basis. More... | |
Image | operator| (int s, const Image &img) |
Performs the operator on a per pixel basis. More... | |
Image | operator^ (const Image &img1, const Image &img2) |
Performs the operator on a per pixel basis. More... | |
Image | operator^ (const Image &img, int s) |
Performs the operator on a per pixel basis. More... | |
Image | operator^ (int s, const Image &img) |
Performs the operator on a per pixel basis. More... | |
Image | operator+= (Image &img1, const Image &img2) |
Image | operator+= (Image &img1, double s) |
Performs the operator on a per pixel basis. More... | |
Image | operator-= (Image &img1, const Image &img2) |
Performs the operator on a per pixel basis. More... | |
Image | operator-= (Image &img1, double s) |
Performs the operator on a per pixel basis. More... | |
Image | operator*= (Image &img1, const Image &img2) |
Performs the operator on a per pixel basis. More... | |
Image | operator*= (Image &img1, double s) |
Performs the operator on a per pixel basis. More... | |
Image | operator/= (Image &img1, const Image &img2) |
Performs the operator on a per pixel basis. More... | |
Image | operator/= (Image &img1, double s) |
Performs the operator on a per pixel basis. More... | |
Image | operator%= (Image &img1, const Image &img2) |
Performs the operator on a per pixel basis. More... | |
Image | operator%= (Image &img1, uint32_t s) |
Performs the operator on a per pixel basis. More... | |
Image | operator&= (Image &img1, const Image &img2) |
Performs the operator on a per pixel basis. More... | |
Image | operator&= (Image &img1, int s) |
Performs the operator on a per pixel basis. More... | |
Image | operator|= (Image &img1, const Image &img2) |
Performs the operator on a per pixel basis. More... | |
Image | operator|= (Image &img1, int s) |
Performs the operator on a per pixel basis. More... | |
Image | operator^= (Image &img1, const Image &img2) |
Performs the operator on a per pixel basis. More... | |
Image | operator^= (Image &img1, int s) |
Performs the operator on a per pixel basis. More... | |
Image | Compose (const std::vector< Image > &images) |
ComposeImageFilter combine several scalar images into a multicomponent image. More... | |
Image | Compose (const Image &image1) |
ComposeImageFilter combine several scalar images into a multicomponent image. More... | |
Image | Compose (const Image &image1, const Image &image2) |
ComposeImageFilter combine several scalar images into a multicomponent image. More... | |
Image | Compose (const Image &image1, const Image &image2, const Image &image3) |
ComposeImageFilter combine several scalar images into a multicomponent image. More... | |
Image | Compose (const Image &image1, const Image &image2, const Image &image3, const Image &image4) |
ComposeImageFilter combine several scalar images into a multicomponent image. More... | |
Image | Compose (const Image &image1, const Image &image2, const Image &image3, const Image &image4, const Image &image5) |
ComposeImageFilter combine several scalar images into a multicomponent image. More... | |
Image | JoinSeries (const std::vector< Image > &images, double origin=0.0, double spacing=1.0) |
Join N-D images into an (N+1)-D image. More... | |
Image | JoinSeries (const Image &image1, double origin=0.0, double spacing=1.0) |
Join N-D images into an (N+1)-D image. More... | |
Image | JoinSeries (const Image &image1, const Image &image2, double origin=0.0, double spacing=1.0) |
Join N-D images into an (N+1)-D image. More... | |
Image | JoinSeries (const Image &image1, const Image &image2, const Image &image3, double origin=0.0, double spacing=1.0) |
Join N-D images into an (N+1)-D image. More... | |
Image | JoinSeries (const Image &image1, const Image &image2, const Image &image3, const Image &image4, double origin=0.0, double spacing=1.0) |
Join N-D images into an (N+1)-D image. More... | |
Image | JoinSeries (const Image &image1, const Image &image2, const Image &image3, const Image &image4, const Image &image5, double origin=0.0, double spacing=1.0) |
Join N-D images into an (N+1)-D image. More... | |
Image | LabelVoting (const std::vector< Image > &images, uint64_t labelForUndecidedPixels=std::numeric_limits< uint64_t >::max()) |
This filter performs pixelwise voting among an arbitrary number of input images, where each of them represents a segmentation of the same scene (i.e., image). More... | |
Image | LabelVoting (const Image &image1, uint64_t labelForUndecidedPixels=std::numeric_limits< uint64_t >::max()) |
This filter performs pixelwise voting among an arbitrary number of input images, where each of them represents a segmentation of the same scene (i.e., image). More... | |
Image | LabelVoting (const Image &image1, const Image &image2, uint64_t labelForUndecidedPixels=std::numeric_limits< uint64_t >::max()) |
This filter performs pixelwise voting among an arbitrary number of input images, where each of them represents a segmentation of the same scene (i.e., image). More... | |
Image | LabelVoting (const Image &image1, const Image &image2, const Image &image3, uint64_t labelForUndecidedPixels=std::numeric_limits< uint64_t >::max()) |
This filter performs pixelwise voting among an arbitrary number of input images, where each of them represents a segmentation of the same scene (i.e., image). More... | |
Image | LabelVoting (const Image &image1, const Image &image2, const Image &image3, const Image &image4, uint64_t labelForUndecidedPixels=std::numeric_limits< uint64_t >::max()) |
This filter performs pixelwise voting among an arbitrary number of input images, where each of them represents a segmentation of the same scene (i.e., image). More... | |
Image | LabelVoting (const Image &image1, const Image &image2, const Image &image3, const Image &image4, const Image &image5, uint64_t labelForUndecidedPixels=std::numeric_limits< uint64_t >::max()) |
This filter performs pixelwise voting among an arbitrary number of input images, where each of them represents a segmentation of the same scene (i.e., image). More... | |
Image | MergeLabelMap (const std::vector< Image > &images, MergeLabelMapFilter::MethodType method=itk::simple::MergeLabelMapFilter::Keep) |
Merges several Label Maps. More... | |
Image | MergeLabelMap (const Image &image1, MergeLabelMapFilter::MethodType method=itk::simple::MergeLabelMapFilter::Keep) |
Merges several Label Maps. More... | |
Image | MergeLabelMap (const Image &image1, const Image &image2, MergeLabelMapFilter::MethodType method=itk::simple::MergeLabelMapFilter::Keep) |
Merges several Label Maps. More... | |
Image | MergeLabelMap (const Image &image1, const Image &image2, const Image &image3, MergeLabelMapFilter::MethodType method=itk::simple::MergeLabelMapFilter::Keep) |
Merges several Label Maps. More... | |
Image | MergeLabelMap (const Image &image1, const Image &image2, const Image &image3, const Image &image4, MergeLabelMapFilter::MethodType method=itk::simple::MergeLabelMapFilter::Keep) |
Merges several Label Maps. More... | |
Image | MergeLabelMap (const Image &image1, const Image &image2, const Image &image3, const Image &image4, const Image &image5, MergeLabelMapFilter::MethodType method=itk::simple::MergeLabelMapFilter::Keep) |
Merges several Label Maps. More... | |
Image | MultiLabelSTAPLE (const std::vector< Image > &images, uint64_t labelForUndecidedPixels=std::numeric_limits< uint64_t >::max(), float terminationUpdateThreshold=1e-5f, unsigned int maximumNumberOfIterations=std::numeric_limits< unsigned int >::max(), std::vector< float > priorProbabilities=std::vector< float >()) |
This filter performs a pixelwise combination of an arbitrary number of input images, where each of them represents a segmentation of the same scene (i.e., image). More... | |
Image | MultiLabelSTAPLE (const Image &image1, uint64_t labelForUndecidedPixels=std::numeric_limits< uint64_t >::max(), float terminationUpdateThreshold=1e-5f, unsigned int maximumNumberOfIterations=std::numeric_limits< unsigned int >::max(), std::vector< float > priorProbabilities=std::vector< float >()) |
This filter performs a pixelwise combination of an arbitrary number of input images, where each of them represents a segmentation of the same scene (i.e., image). More... | |
Image | MultiLabelSTAPLE (const Image &image1, const Image &image2, uint64_t labelForUndecidedPixels=std::numeric_limits< uint64_t >::max(), float terminationUpdateThreshold=1e-5f, unsigned int maximumNumberOfIterations=std::numeric_limits< unsigned int >::max(), std::vector< float > priorProbabilities=std::vector< float >()) |
This filter performs a pixelwise combination of an arbitrary number of input images, where each of them represents a segmentation of the same scene (i.e., image). More... | |
Image | MultiLabelSTAPLE (const Image &image1, const Image &image2, const Image &image3, uint64_t labelForUndecidedPixels=std::numeric_limits< uint64_t >::max(), float terminationUpdateThreshold=1e-5f, unsigned int maximumNumberOfIterations=std::numeric_limits< unsigned int >::max(), std::vector< float > priorProbabilities=std::vector< float >()) |
This filter performs a pixelwise combination of an arbitrary number of input images, where each of them represents a segmentation of the same scene (i.e., image). More... | |
Image | MultiLabelSTAPLE (const Image &image1, const Image &image2, const Image &image3, const Image &image4, uint64_t labelForUndecidedPixels=std::numeric_limits< uint64_t >::max(), float terminationUpdateThreshold=1e-5f, unsigned int maximumNumberOfIterations=std::numeric_limits< unsigned int >::max(), std::vector< float > priorProbabilities=std::vector< float >()) |
This filter performs a pixelwise combination of an arbitrary number of input images, where each of them represents a segmentation of the same scene (i.e., image). More... | |
Image | MultiLabelSTAPLE (const Image &image1, const Image &image2, const Image &image3, const Image &image4, const Image &image5, uint64_t labelForUndecidedPixels=std::numeric_limits< uint64_t >::max(), float terminationUpdateThreshold=1e-5f, unsigned int maximumNumberOfIterations=std::numeric_limits< unsigned int >::max(), std::vector< float > priorProbabilities=std::vector< float >()) |
This filter performs a pixelwise combination of an arbitrary number of input images, where each of them represents a segmentation of the same scene (i.e., image). More... | |
Image | NaryAdd (const std::vector< Image > &images) |
Pixel-wise addition of N images. More... | |
Image | NaryAdd (const Image &image1) |
Pixel-wise addition of N images. More... | |
Image | NaryAdd (const Image &image1, const Image &image2) |
Pixel-wise addition of N images. More... | |
Image | NaryAdd (const Image &image1, const Image &image2, const Image &image3) |
Pixel-wise addition of N images. More... | |
Image | NaryAdd (const Image &image1, const Image &image2, const Image &image3, const Image &image4) |
Pixel-wise addition of N images. More... | |
Image | NaryAdd (const Image &image1, const Image &image2, const Image &image3, const Image &image4, const Image &image5) |
Pixel-wise addition of N images. More... | |
Image | NaryMaximum (const std::vector< Image > &images) |
Computes the pixel-wise maximum of several images. More... | |
Image | NaryMaximum (const Image &image1) |
Computes the pixel-wise maximum of several images. More... | |
Image | NaryMaximum (const Image &image1, const Image &image2) |
Computes the pixel-wise maximum of several images. More... | |
Image | NaryMaximum (const Image &image1, const Image &image2, const Image &image3) |
Computes the pixel-wise maximum of several images. More... | |
Image | NaryMaximum (const Image &image1, const Image &image2, const Image &image3, const Image &image4) |
Computes the pixel-wise maximum of several images. More... | |
Image | NaryMaximum (const Image &image1, const Image &image2, const Image &image3, const Image &image4, const Image &image5) |
Computes the pixel-wise maximum of several images. More... | |
Image | STAPLE (const std::vector< Image > &images, double confidenceWeight=1.0, double foregroundValue=1.0, unsigned int maximumIterations=std::numeric_limits< unsigned int >::max()) |
The STAPLE filter implements the Simultaneous Truth and Performance Level Estimation algorithm for generating ground truth volumes from a set of binary expert segmentations. More... | |
Image | STAPLE (const Image &image1, double confidenceWeight=1.0, double foregroundValue=1.0, unsigned int maximumIterations=std::numeric_limits< unsigned int >::max()) |
The STAPLE filter implements the Simultaneous Truth and Performance Level Estimation algorithm for generating ground truth volumes from a set of binary expert segmentations. More... | |
Image | STAPLE (const Image &image1, const Image &image2, double confidenceWeight=1.0, double foregroundValue=1.0, unsigned int maximumIterations=std::numeric_limits< unsigned int >::max()) |
The STAPLE filter implements the Simultaneous Truth and Performance Level Estimation algorithm for generating ground truth volumes from a set of binary expert segmentations. More... | |
Image | STAPLE (const Image &image1, const Image &image2, const Image &image3, double confidenceWeight=1.0, double foregroundValue=1.0, unsigned int maximumIterations=std::numeric_limits< unsigned int >::max()) |
The STAPLE filter implements the Simultaneous Truth and Performance Level Estimation algorithm for generating ground truth volumes from a set of binary expert segmentations. More... | |
Image | STAPLE (const Image &image1, const Image &image2, const Image &image3, const Image &image4, double confidenceWeight=1.0, double foregroundValue=1.0, unsigned int maximumIterations=std::numeric_limits< unsigned int >::max()) |
The STAPLE filter implements the Simultaneous Truth and Performance Level Estimation algorithm for generating ground truth volumes from a set of binary expert segmentations. More... | |
Image | STAPLE (const Image &image1, const Image &image2, const Image &image3, const Image &image4, const Image &image5, double confidenceWeight=1.0, double foregroundValue=1.0, unsigned int maximumIterations=std::numeric_limits< unsigned int >::max()) |
The STAPLE filter implements the Simultaneous Truth and Performance Level Estimation algorithm for generating ground truth volumes from a set of binary expert segmentations. More... | |
Image | Tile (const std::vector< Image > &images, const std::vector< uint32_t > &layout=std::vector< uint32_t >(3, 100), double defaultPixelValue=0.0) |
Tile multiple input images into a single output image. More... | |
Image | Tile (const Image &image1, const std::vector< uint32_t > &layout=std::vector< uint32_t >(3, 100), double defaultPixelValue=0.0) |
Tile multiple input images into a single output image. More... | |
Image | Tile (const Image &image1, const Image &image2, const std::vector< uint32_t > &layout=std::vector< uint32_t >(3, 100), double defaultPixelValue=0.0) |
Tile multiple input images into a single output image. More... | |
Image | Tile (const Image &image1, const Image &image2, const Image &image3, const std::vector< uint32_t > &layout=std::vector< uint32_t >(3, 100), double defaultPixelValue=0.0) |
Tile multiple input images into a single output image. More... | |
Image | Tile (const Image &image1, const Image &image2, const Image &image3, const Image &image4, const std::vector< uint32_t > &layout=std::vector< uint32_t >(3, 100), double defaultPixelValue=0.0) |
Tile multiple input images into a single output image. More... | |
Image | Tile (const Image &image1, const Image &image2, const Image &image3, const Image &image4, const Image &image5, const std::vector< uint32_t > &layout=std::vector< uint32_t >(3, 100), double defaultPixelValue=0.0) |
Tile multiple input images into a single output image. More... | |
typedef typelist::Append< typelist::Append< BasicPixelIDTypeList, ComplexPixelIDTypeList >::Type, typelist::Append< VectorPixelIDTypeList, LabelPixelIDTypeList >::Type >::Type itk::simple::AllPixelIDTypeList |
List of all pixel ids available, this include image of itk::Image, itk::VectorImage, and itk::LabelMap types.
Definition at line 195 of file sitkPixelIDTypeLists.h.
typedef typelist::MakeTypeList<BasicPixelID<int8_t>, BasicPixelID<uint8_t>, BasicPixelID<int16_t>, BasicPixelID<uint16_t>, BasicPixelID<int32_t>, BasicPixelID<uint32_t>, BasicPixelID<float>, BasicPixelID<double> >::Type itk::simple::BasicPixelIDTypeList |
List of all pixel ids for the itk::Image class.
Definition at line 53 of file sitkPixelIDTypeLists.h.
typedef typelist::MakeTypeList< BasicPixelID<std::complex< float > >, BasicPixelID<std::complex< double > > >::Type itk::simple::ComplexPixelIDTypeList |
List of pixel ids which are std::complex types for the itk::Image class.
Definition at line 103 of file sitkPixelIDTypeLists.h.
typedef nsstd::false_type itk::simple::FalseType |
Definition at line 32 of file sitkPixelIDTokens.h.
List of pixel ids which are instantiated for use in SimpleITK
this include image of itk::Image,itk::VectorImage, and itk::LabelMap types.
Definition at line 207 of file sitkPixelIDTypeLists.h.
Definition at line 167 of file sitkPixelIDTypeLists.h.
typedef typelist::MakeTypeList<BasicPixelID<int8_t>, BasicPixelID<uint8_t>, BasicPixelID<int16_t>, BasicPixelID<uint16_t>, BasicPixelID<int32_t>, BasicPixelID<uint32_t> >::Type itk::simple::IntegerPixelIDTypeList |
List of pixel ids which are integer types for the itk::Image class.
Definition at line 76 of file sitkPixelIDTypeLists.h.
typedef typelist::MakeTypeList<LabelPixelID<uint8_t>, LabelPixelID<uint16_t>, LabelPixelID<uint32_t> >::Type itk::simple::LabelPixelIDTypeList |
List of pixel ids which are for itk::LabelMap Image class.
Definition at line 165 of file sitkPixelIDTypeLists.h.
typedef typelist::Append< typelist::Append< BasicPixelIDTypeList, ComplexPixelIDTypeList >::Type, VectorPixelIDTypeList >::Type itk::simple::NonLabelPixelIDTypeList |
List of all pixel ids available, but itk::LabelMap this include image of itk::Image, itk::VectorImage
Definition at line 180 of file sitkPixelIDTypeLists.h.
typedef int itk::simple::PixelIDValueType |
Definition at line 32 of file sitkPixelIDValues.h.
typedef typelist::MakeTypeList<BasicPixelID<float>, BasicPixelID<double> >::Type itk::simple::RealPixelIDTypeList |
List of pixel ids which are real types for the itk::Image class.
Definition at line 96 of file sitkPixelIDTypeLists.h.
typedef typelist::MakeTypeList<VectorPixelID<float>, VectorPixelID<double> >::Type itk::simple::RealVectorPixelIDTypeList |
List of pixel ids which are real vectors for itk::VectorImage class.
Definition at line 142 of file sitkPixelIDTypeLists.h.
List of all single valued images of the itk::Image class.
Definition at line 59 of file sitkPixelIDTypeLists.h.
typedef typelist::MakeTypeList<BasicPixelID<int8_t>, BasicPixelID<int16_t>, BasicPixelID<int32_t>, BasicPixelID<float>, BasicPixelID<double> >::Type itk::simple::SignedPixelIDTypeList |
List of pixel ids which are signed
Definition at line 116 of file sitkPixelIDTypeLists.h.
typedef typelist::MakeTypeList< VectorPixelID<int8_t>, VectorPixelID<int16_t>, VectorPixelID<int32_t>, VectorPixelID<float>, VectorPixelID<double> >::Type itk::simple::SignedVectorPixelIDTypeList |
List of pixel ids which are signed of vectors
Definition at line 152 of file sitkPixelIDTypeLists.h.
typedef nsstd::true_type itk::simple::TrueType |
Definition at line 31 of file sitkPixelIDTokens.h.
typedef typelist::MakeTypeList<BasicPixelID<uint8_t>, BasicPixelID<uint16_t>, BasicPixelID<uint32_t> >::Type itk::simple::UnsignedIntegerPixelIDTypeList |
List of pixel ids which are unsigned integer types for the itk::Image class.
Definition at line 88 of file sitkPixelIDTypeLists.h.
typedef typelist::MakeTypeList<VectorPixelID<int8_t>, VectorPixelID<uint8_t>, VectorPixelID<int16_t>, VectorPixelID<uint16_t>, VectorPixelID<int32_t>, VectorPixelID<uint32_t>, VectorPixelID<float>, VectorPixelID<double> >::Type itk::simple::VectorPixelIDTypeList |
List of pixel ids which are vectors for itk::VectorImage class.
Definition at line 134 of file sitkPixelIDTypeLists.h.
Events which can be observed from ProcessObject.
For more information see the page Commands and Events for SimpleITK.
Enumerator | |
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sitkAnyEvent |
Occurs for all event types. |
sitkAbortEvent |
Occurs after the process has been aborted, but before exiting the Execute method. |
sitkDeleteEvent |
Occurs when the underlying itk::ProcessObject is deleted. |
sitkEndEvent |
Occurs at then end of normal processing. |
sitkIterationEvent |
Occurs with some algorithms that run for a fixed or undetermined number of iterations. |
sitkProgressEvent |
Occurs when the progress changes in most process objects. |
sitkStartEvent |
Occurs when then itk::ProcessObject is starting. |
sitkMultiResolutionIterationEvent |
Occurs when some filters change processing to a different scale.
|
sitkUserEvent |
Other events may fall into this enumeration. |
Definition at line 31 of file sitkEvent.h.
Enumerator | |
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sitkNearestNeighbor |
Nearest-neighbor interpolation. |
sitkLinear |
N-D linear interpolation. |
sitkBSpline |
B-Spline of order 3 interpolation. |
sitkGaussian |
Gaussian interpolation. Sigma is set to 0.8 input pixels and alpha is 4.0 |
sitkLabelGaussian |
Smoothly interpolate multi-label images. Sigma is set to 1.0 input pixels and alpha is 1.0 |
sitkHammingWindowedSinc |
Windowed sinc interpolation.
|
sitkCosineWindowedSinc |
Windowed sinc interpolation.
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sitkWelchWindowedSinc |
Windowed sinc interpolation.
|
sitkLanczosWindowedSinc |
Windowed sinc interpolation.
|
sitkBlackmanWindowedSinc |
Windowed sinc interpolation.
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sitkBSplineResampler |
Interpolator for a BSpline coefficient image. This interpolator should be used with the resampling the image intensities of a BSpline coefficient image. The order specifies the order of the coefficient image, and defaults to 3.
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sitkBSplineResamplerOrder3 | |
sitkBSplineResamplerOrder1 | |
sitkBSplineResamplerOrder2 | |
sitkBSplineResamplerOrder4 | |
sitkBSplineResamplerOrder5 |
Definition at line 30 of file sitkInterpolator.h.
Enumerator | |
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sitkAnnulus | |
sitkBall | |
sitkBox | |
sitkCross | |
sitkPolygon3 | |
sitkPolygon4 | |
sitkPolygon5 | |
sitkPolygon6 | |
sitkPolygon7 | |
sitkPolygon8 | |
sitkPolygon9 |
Definition at line 29 of file sitkKernel.h.
Enumerated values of pixelIDs.
Each PixelID's value corresponds to the index of the PixelID type, in the type list "InstantiatedPixelIDTypeList". It is possible that different configurations for SimpleITK could result in different values for pixelID. So these enumerated values should be used.
Additionally, not all PixelID an instantiated in for the tool kit. If a PixelID is not instantiated then it's value is -1. Therefore it is likely that multiple elements in the enumeration will have a zero value. Therefore the first preferred method is to use "if" statements, with the first branch checking for the Unknown value.
If a switch case statement is needed the ConditionalValue meta-programming object can be used as follows:
Definition at line 90 of file sitkPixelIDValues.h.
Enumerator | |
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sitkWallClock |
A sentinel value used for "seed" parameters to indicate it should be initialized by the wall clock for pseudo-random behavior. |
Definition at line 28 of file sitkRandomSeed.h.
Definition at line 49 of file sitkTransform.h.
Computes the absolute value of each pixel.
This function directly calls the execute method of AbsImageFilter in order to support a procedural API
Implements pixel-wise the computation of absolute value difference.
This function directly calls the execute method of AbsoluteValueDifferenceImageFilter in order to support a procedural API
Computes the inverse cosine of each pixel.
This function directly calls the execute method of AcosImageFilter in order to support a procedural API
Image itk::simple::AdaptiveHistogramEqualization | ( | const Image & | image1, |
const std::vector< unsigned int > & | radius = std::vector< unsigned int >(3, 5) , |
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float | alpha = 0.3f , |
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float | beta = 0.3f |
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) |
Power Law Adaptive Histogram Equalization.
This function directly calls the execute method of AdaptiveHistogramEqualizationImageFilter in order to support a procedural API
Pixel-wise addition of two images.
This function directly calls the execute method of AddImageFilter in order to support a procedural API
Referenced by operator+(), and operator+=().
Image itk::simple::AdditiveGaussianNoise | ( | const Image & | image1, |
double | standardDeviation = 1.0 , |
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double | mean = 0.0 , |
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uint32_t | seed = (uint32_t) itk::simple::sitkWallClock |
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) |
Alter an image with additive Gaussian white noise.
This function directly calls the execute method of AdditiveGaussianNoiseImageFilter in order to support a procedural API
Collapses all labels into the first label.
This function directly calls the execute method of AggregateLabelMapFilter in order to support a procedural API
Implements the AND bitwise operator pixel-wise between two images.
This function directly calls the execute method of AndImageFilter in order to support a procedural API
Referenced by operator&(), and operator&=().
Image itk::simple::AntiAliasBinary | ( | const Image & | image1, |
double | maximumRMSError = 0.07 , |
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uint32_t | numberOfIterations = 1000u |
||
) |
A method for estimation of a surface from a binary volume.
This function directly calls the execute method of AntiAliasBinaryImageFilter in order to support a procedural API
Image itk::simple::ApproximateSignedDistanceMap | ( | const Image & | image1, |
double | insideValue = 1u , |
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double | outsideValue = 0u |
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) |
Create a map of the approximate signed distance from the boundaries of a binary image.
This function directly calls the execute method of ApproximateSignedDistanceMapImageFilter in order to support a procedural API
Computes the sine of each pixel.
This function directly calls the execute method of AsinImageFilter in order to support a procedural API
Computes the one-argument inverse tangent of each pixel.
This function directly calls the execute method of AtanImageFilter in order to support a procedural API
Computes two argument inverse tangent.
This function directly calls the execute method of Atan2ImageFilter in order to support a procedural API
Image itk::simple::Bilateral | ( | const Image & | image1, |
double | domainSigma = 4.0 , |
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double | rangeSigma = 50.0 , |
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unsigned int | numberOfRangeGaussianSamples = 100u |
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) |
Blurs an image while preserving edges.
This function directly calls the execute method of BilateralImageFilter in order to support a procedural API
Image itk::simple::BinaryClosingByReconstruction | ( | const Image & | , |
uint32_t | radius = 1 , |
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KernelEnum | kernel = sitkBall , |
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double | foregroundValue = 1.0 , |
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bool | fullyConnected = false |
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) |
itk::simple::BinaryClosingByReconstructionImageFilter Functional Interface
This function directly calls the execute method of BinaryClosingByReconstructionImageFilter in order to support a fully functional API
Image itk::simple::BinaryClosingByReconstruction | ( | const Image & | , |
const std::vector< uint32_t > | vectorRadius, | ||
KernelEnum | kernel = sitkBall , |
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double | foregroundValue = 1.0 , |
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bool | fullyConnected = false |
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) |
itk::simple::BinaryClosingByReconstructionImageFilter Functional Interface
This function directly calls the execute method of BinaryClosingByReconstructionImageFilter in order to support a fully functional API
Image itk::simple::BinaryContour | ( | const Image & | image1, |
bool | fullyConnected = false , |
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double | backgroundValue = 0.0 , |
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double | foregroundValue = 1.0 |
||
) |
Labels the pixels on the border of the objects in a binary image.
This function directly calls the execute method of BinaryContourImageFilter in order to support a procedural API
Image itk::simple::BinaryDilate | ( | const Image & | , |
uint32_t | radius = 1 , |
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KernelEnum | kernel = sitkBall , |
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double | backgroundValue = 0.0 , |
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double | foregroundValue = 1.0 , |
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bool | boundaryToForeground = false |
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) |
itk::simple::BinaryDilateImageFilter Functional Interface
This function directly calls the execute method of BinaryDilateImageFilter in order to support a fully functional API
Image itk::simple::BinaryDilate | ( | const Image & | , |
const std::vector< uint32_t > | vectorRadius, | ||
KernelEnum | kernel = sitkBall , |
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double | backgroundValue = 0.0 , |
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double | foregroundValue = 1.0 , |
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bool | boundaryToForeground = false |
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) |
itk::simple::BinaryDilateImageFilter Functional Interface
This function directly calls the execute method of BinaryDilateImageFilter in order to support a fully functional API
Image itk::simple::BinaryErode | ( | const Image & | , |
uint32_t | radius = 1 , |
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KernelEnum | kernel = sitkBall , |
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double | backgroundValue = 0.0 , |
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double | foregroundValue = 1.0 , |
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bool | boundaryToForeground = true |
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) |
itk::simple::BinaryErodeImageFilter Functional Interface
This function directly calls the execute method of BinaryErodeImageFilter in order to support a fully functional API
Image itk::simple::BinaryErode | ( | const Image & | , |
const std::vector< uint32_t > | vectorRadius, | ||
KernelEnum | kernel = sitkBall , |
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double | backgroundValue = 0.0 , |
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double | foregroundValue = 1.0 , |
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bool | boundaryToForeground = true |
||
) |
itk::simple::BinaryErodeImageFilter Functional Interface
This function directly calls the execute method of BinaryErodeImageFilter in order to support a fully functional API
Image itk::simple::BinaryFillhole | ( | const Image & | image1, |
bool | fullyConnected = false , |
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double | foregroundValue = 1.0 |
||
) |
Remove holes not connected to the boundary of the image.
This function directly calls the execute method of BinaryFillholeImageFilter in order to support a procedural API
Image itk::simple::BinaryGrindPeak | ( | const Image & | image1, |
bool | fullyConnected = false , |
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double | foregroundValue = 1.0 , |
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double | backgroundValue = 0 |
||
) |
Remove the objects not connected to the boundary of the image.
This function directly calls the execute method of BinaryGrindPeakImageFilter in order to support a procedural API
Image itk::simple::BinaryImageToLabelMap | ( | const Image & | image1, |
bool | fullyConnected = false , |
||
double | inputForegroundValue = 1.0 , |
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double | outputBackgroundValue = 0.0 |
||
) |
Label the connected components in a binary image and produce a collection of label objects.
This function directly calls the execute method of BinaryImageToLabelMapFilter in order to support a procedural API
Computes the square root of the sum of squares of corresponding input pixels.
This function directly calls the execute method of BinaryMagnitudeImageFilter in order to support a procedural API
Image itk::simple::BinaryMedian | ( | const Image & | image1, |
const std::vector< unsigned int > & | radius = std::vector< unsigned int >(3, 1) , |
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double | foregroundValue = 1.0 , |
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double | backgroundValue = 0.0 |
||
) |
Applies a version of the median filter optimized for binary images.
This function directly calls the execute method of BinaryMedianImageFilter in order to support a procedural API
Image itk::simple::BinaryMinMaxCurvatureFlow | ( | const Image & | image1, |
double | timeStep = 0.05 , |
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uint32_t | numberOfIterations = 5u , |
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int | stencilRadius = 2 , |
||
double | threshold = 0 |
||
) |
Denoise a binary image using min/max curvature flow.
This function directly calls the execute method of BinaryMinMaxCurvatureFlowImageFilter in order to support a procedural API
Image itk::simple::BinaryMorphologicalClosing | ( | const Image & | , |
uint32_t | radius = 1 , |
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KernelEnum | kernel = sitkBall , |
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double | foregroundValue = 1.0 , |
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bool | safeBorder = true |
||
) |
itk::simple::BinaryMorphologicalClosingImageFilter Functional Interface
This function directly calls the execute method of BinaryMorphologicalClosingImageFilter in order to support a fully functional API
Image itk::simple::BinaryMorphologicalClosing | ( | const Image & | , |
const std::vector< uint32_t > | vectorRadius, | ||
KernelEnum | kernel = sitkBall , |
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double | foregroundValue = 1.0 , |
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bool | safeBorder = true |
||
) |
itk::simple::BinaryMorphologicalClosingImageFilter Functional Interface
This function directly calls the execute method of BinaryMorphologicalClosingImageFilter in order to support a fully functional API
Image itk::simple::BinaryMorphologicalOpening | ( | const Image & | , |
uint32_t | radius = 1 , |
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KernelEnum | kernel = sitkBall , |
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double | backgroundValue = 0.0 , |
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double | foregroundValue = 1.0 |
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) |
itk::simple::BinaryMorphologicalOpeningImageFilter Functional Interface
This function directly calls the execute method of BinaryMorphologicalOpeningImageFilter in order to support a fully functional API
Image itk::simple::BinaryMorphologicalOpening | ( | const Image & | , |
const std::vector< uint32_t > | vectorRadius, | ||
KernelEnum | kernel = sitkBall , |
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double | backgroundValue = 0.0 , |
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double | foregroundValue = 1.0 |
||
) |
itk::simple::BinaryMorphologicalOpeningImageFilter Functional Interface
This function directly calls the execute method of BinaryMorphologicalOpeningImageFilter in order to support a fully functional API
Image itk::simple::BinaryNot | ( | const Image & | image1, |
double | foregroundValue = 1.0 , |
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double | backgroundValue = 0.0 |
||
) |
Implements the BinaryNot logical operator pixel-wise between two images.
This function directly calls the execute method of BinaryNotImageFilter in order to support a procedural API
Image itk::simple::BinaryOpeningByReconstruction | ( | const Image & | , |
uint32_t | radius = 1 , |
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KernelEnum | kernel = sitkBall , |
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double | foregroundValue = 1.0 , |
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double | backgroundValue = 0.0 , |
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bool | fullyConnected = false |
||
) |
itk::simple::BinaryOpeningByReconstructionImageFilter Functional Interface
This function directly calls the execute method of BinaryOpeningByReconstructionImageFilter in order to support a fully functional API
Image itk::simple::BinaryOpeningByReconstruction | ( | const Image & | , |
const std::vector< uint32_t > | vectorRadius, | ||
KernelEnum | kernel = sitkBall , |
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double | foregroundValue = 1.0 , |
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double | backgroundValue = 0.0 , |
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bool | fullyConnected = false |
||
) |
itk::simple::BinaryOpeningByReconstructionImageFilter Functional Interface
This function directly calls the execute method of BinaryOpeningByReconstructionImageFilter in order to support a fully functional API
Image itk::simple::BinaryProjection | ( | const Image & | image1, |
unsigned int | projectionDimension = 0u , |
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double | foregroundValue = 1.0 , |
||
double | backgroundValue = 0.0 |
||
) |
Binary projection.
This function directly calls the execute method of BinaryProjectionImageFilter in order to support a procedural API
Image itk::simple::BinaryReconstructionByDilation | ( | const Image & | image1, |
const Image & | image2, | ||
double | backgroundValue = 0.0 , |
||
double | foregroundValue = 1.0 , |
||
bool | fullyConnected = false |
||
) |
binary reconstruction by dilation of an image
This function directly calls the execute method of BinaryReconstructionByDilationImageFilter in order to support a procedural API
Image itk::simple::BinaryReconstructionByErosion | ( | const Image & | image1, |
const Image & | image2, | ||
double | backgroundValue = 0.0 , |
||
double | foregroundValue = 1.0 , |
||
bool | fullyConnected = false |
||
) |
binary reconstruction by erosion of an image
This function directly calls the execute method of BinaryReconstructionByErosionImageFilter in order to support a procedural API
This filter computes one-pixel-wide edges of the input image.
This function directly calls the execute method of BinaryThinningImageFilter in order to support a procedural API
Image itk::simple::BinaryThreshold | ( | const Image & | image1, |
double | lowerThreshold = 0.0 , |
||
double | upperThreshold = 255.0 , |
||
uint8_t | insideValue = 1u , |
||
uint8_t | outsideValue = 0u |
||
) |
Binarize an input image by thresholding.
This function directly calls the execute method of BinaryThresholdImageFilter in order to support a procedural API
Image itk::simple::BinaryThresholdProjection | ( | const Image & | image1, |
unsigned int | projectionDimension = 0u , |
||
double | thresholdValue = 0.0 , |
||
uint8_t | foregroundValue = 1u , |
||
uint8_t | backgroundValue = 0u |
||
) |
BinaryThreshold projection.
This function directly calls the execute method of BinaryThresholdProjectionImageFilter in order to support a procedural API
Performs a separable blur on each dimension of an image.
This function directly calls the execute method of BinomialBlurImageFilter in order to support a procedural API
Image itk::simple::BinShrink | ( | const Image & | image1, |
const std::vector< unsigned int > & | shrinkFactors = std::vector< unsigned int >(3, 1) |
||
) |
Reduce the size of an image by an integer factor in each dimension while performing averaging of an input neighborhood.
This function directly calls the execute method of BinShrinkImageFilter in order to support a procedural API
Implements pixel-wise generic operation on one image.
This function directly calls the execute method of BitwiseNotImageFilter in order to support a procedural API
Referenced by operator~().
Image itk::simple::BlackTopHat | ( | const Image & | , |
uint32_t | radius = 1 , |
||
KernelEnum | kernel = sitkBall , |
||
bool | safeBorder = true |
||
) |
itk::simple::BlackTopHatImageFilter Functional Interface
This function directly calls the execute method of BlackTopHatImageFilter in order to support a fully functional API
Image itk::simple::BlackTopHat | ( | const Image & | , |
const std::vector< uint32_t > | vectorRadius, | ||
KernelEnum | kernel = sitkBall , |
||
bool | safeBorder = true |
||
) |
itk::simple::BlackTopHatImageFilter Functional Interface
This function directly calls the execute method of BlackTopHatImageFilter in order to support a fully functional API
Computes 1/(1+x) for each pixel in the image.
This function directly calls the execute method of BoundedReciprocalImageFilter in order to support a procedural API
Image itk::simple::BoxMean | ( | const Image & | image1, |
const std::vector< unsigned int > & | radius = std::vector< unsigned int >(3, 1) |
||
) |
Implements a fast rectangular mean filter using the accumulator approach.
This function directly calls the execute method of BoxMeanImageFilter in order to support a procedural API
Image itk::simple::BoxSigma | ( | const Image & | image1, |
const std::vector< unsigned int > & | radius = std::vector< unsigned int >(3, 1) |
||
) |
Implements a fast rectangular sigma filter using the accumulator approach.
This function directly calls the execute method of BoxSigmaImageFilter in order to support a procedural API
Calculates the B-Spline coefficients of an image. Spline order may be from 0 to 5.
This function directly calls the execute method of BSplineDecompositionImageFilter in order to support a procedural API
BSplineTransform itk::simple::BSplineTransformInitializer | ( | const Image & | image1, |
const std::vector< uint32_t > & | transformDomainMeshSize = std::vector< uint32_t >(3, 1u) , |
||
unsigned int | order = 3u |
||
) |
BSplineTransformInitializerFilter is a helper class intended to initialize the control point grid such that it has a physically consistent definition. It sets the transform domain origin, physical dimensions and direction from information obtained from the image. It also sets the mesh size if asked to do so by calling SetTransformDomainMeshSize()before calling InitializeTransform().
This function directly calls the execute method of BSplineTransformInitializerFilter in order to support a procedural API
Image itk::simple::CannyEdgeDetection | ( | const Image & | image1, |
double | lowerThreshold = 0.0 , |
||
double | upperThreshold = 0.0 , |
||
const std::vector< double > & | variance = std::vector< double >(3, 0.0) , |
||
const std::vector< double > & | maximumError = std::vector< double >(3, 0.01) |
||
) |
This filter is an implementation of a Canny edge detector for scalar-valued images.
This function directly calls the execute method of CannyEdgeDetectionImageFilter in order to support a procedural API
Image itk::simple::Cast | ( | const Image & | image, |
PixelIDValueEnum | pixelID | ||
) |
Transform itk::simple::CenteredTransformInitializer | ( | const Image & | fixedImage, |
const Image & | movingImage, | ||
const Transform & | transform, | ||
CenteredTransformInitializerFilter::OperationModeType | operationMode = itk::simple::CenteredTransformInitializerFilter::MOMENTS |
||
) |
CenteredTransformInitializer is a helper class intended to initialize the center of rotation and the translation of Transforms having the center of rotation among their parameters.
This function directly calls the execute method of CenteredTransformInitializerFilter in order to support a procedural API
Transform itk::simple::CenteredVersorTransformInitializer | ( | const Image & | fixedImage, |
const Image & | movingImage, | ||
const Transform & | transform, | ||
bool | computeRotation = false |
||
) |
CenteredVersorTransformInitializer is a helper class intended to initialize the center of rotation, versor, and translation of the VersorRigid3DTransform.
This function directly calls the execute method of CenteredVectorTransformInitializerFilter in order to support a procedural API.
Image itk::simple::ChangeLabel | ( | const Image & | image1, |
std::map< double, double > | changeMap = std::map< double, double >() |
||
) |
Change Sets of Labels.
This function directly calls the execute method of ChangeLabelImageFilter in order to support a procedural API
Image itk::simple::ChangeLabelLabelMap | ( | const Image & | image1, |
std::map< double, double > | changeMap = std::map< double, double >() |
||
) |
Replace the label Ids of selected LabelObjects with new label Ids.
This function directly calls the execute method of ChangeLabelLabelMapFilter in order to support a procedural API
Image itk::simple::CheckerBoard | ( | const Image & | image1, |
const Image & | image2, | ||
const std::vector< uint32_t > & | checkerPattern = std::vector< uint32_t >(3, 4) |
||
) |
Combines two images in a checkerboard pattern.
This function directly calls the execute method of CheckerBoardImageFilter in order to support a procedural API
Image itk::simple::Clamp | ( | const Image & | image1, |
PixelIDValueEnum | outputPixelType = itk::simple::sitkUnknown , |
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double | lowerBound = -std::numeric_limits< double >::max() , |
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double | upperBound = std::numeric_limits< double >::max() |
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) |
Casts input pixels to output pixel type and clamps the output pixel values to a specified range.
This function directly calls the execute method of ClampImageFilter in order to support a procedural API
Image itk::simple::ClosingByReconstruction | ( | const Image & | , |
uint32_t | radius = 1 , |
||
KernelEnum | kernel = sitkBall , |
||
bool | fullyConnected = false , |
||
bool | preserveIntensities = false |
||
) |
itk::simple::ClosingByReconstructionImageFilter Functional Interface
This function directly calls the execute method of ClosingByReconstructionImageFilter in order to support a fully functional API
Image itk::simple::ClosingByReconstruction | ( | const Image & | , |
const std::vector< uint32_t > | vectorRadius, | ||
KernelEnum | kernel = sitkBall , |
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bool | fullyConnected = false , |
||
bool | preserveIntensities = false |
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) |
itk::simple::ClosingByReconstructionImageFilter Functional Interface
This function directly calls the execute method of ClosingByReconstructionImageFilter in order to support a fully functional API
Image itk::simple::CollidingFronts | ( | const Image & | image1, |
const std::vector< std::vector< unsigned int > > & | seedPoints1 = std::vector< std::vector< unsigned int > >() , |
||
const std::vector< std::vector< unsigned int > > & | seedPoints2 = std::vector< std::vector< unsigned int > >() , |
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bool | applyConnectivity = true , |
||
double | negativeEpsilon = -1e-6 , |
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bool | stopOnTargets = false |
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) |
Selects a region of space where two independent fronts run towards each other.
This function directly calls the execute method of CollidingFrontsImageFilter in order to support a procedural API
Computes pixel-wise the imaginary part of a complex image.
This function directly calls the execute method of ComplexToImaginaryImageFilter in order to support a procedural API
Computes pixel-wise the Modulus of a complex image.
This function directly calls the execute method of ComplexToModulusImageFilter in order to support a procedural API
Computes pixel-wise the modulus of a complex image.
This function directly calls the execute method of ComplexToPhaseImageFilter in order to support a procedural API
Computes pixel-wise the real(x) part of a complex image.
This function directly calls the execute method of ComplexToRealImageFilter in order to support a procedural API
ComposeImageFilter combine several scalar images into a multicomponent image.
This function directly calls the execute method of ComposeImageFilter in order to support a procedural API
ComposeImageFilter combine several scalar images into a multicomponent image.
This function directly calls the execute method of ComposeImageFilter in order to support a procedural API
ComposeImageFilter combine several scalar images into a multicomponent image.
This function directly calls the execute method of ComposeImageFilter in order to support a procedural API
ComposeImageFilter combine several scalar images into a multicomponent image.
This function directly calls the execute method of ComposeImageFilter in order to support a procedural API
Image itk::simple::Compose | ( | const Image & | image1, |
const Image & | image2, | ||
const Image & | image3, | ||
const Image & | image4 | ||
) |
ComposeImageFilter combine several scalar images into a multicomponent image.
This function directly calls the execute method of ComposeImageFilter in order to support a procedural API
Image itk::simple::Compose | ( | const Image & | image1, |
const Image & | image2, | ||
const Image & | image3, | ||
const Image & | image4, | ||
const Image & | image5 | ||
) |
ComposeImageFilter combine several scalar images into a multicomponent image.
This function directly calls the execute method of ComposeImageFilter in order to support a procedural API
Image itk::simple::ConfidenceConnected | ( | const Image & | image1, |
const std::vector< std::vector< unsigned int > > & | seedList, | ||
unsigned int | numberOfIterations = 4u , |
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double | multiplier = 4.5 , |
||
unsigned int | initialNeighborhoodRadius = 1u , |
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uint8_t | replaceValue = 1u |
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) |
itk::simple::ConfidenceConnectedImageFilter Functional Interface
This function directly calls the execute method of ConfidenceConnectedImageFilter in order to support a fully functional API
Image itk::simple::ConnectedComponent | ( | const Image & | image, |
const Image & | maskImage, | ||
bool | fullyConnected = false |
||
) |
Label the objects in a binary image.
This function directly calls the execute method of ConnectedComponentImageFilter in order to support a procedural API
Image itk::simple::ConnectedThreshold | ( | const Image & | image1, |
const std::vector< std::vector< unsigned int > > & | seedList, | ||
double | lower = 0 , |
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double | upper = 1 , |
||
uint8_t | replaceValue = 1u , |
||
ConnectedThresholdImageFilter::ConnectivityType | connectivity = itk::simple::ConnectedThresholdImageFilter::FaceConnectivity |
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) |
itk::simple::ConnectedThresholdImageFilter Functional Interface
This function directly calls the execute method of ConnectedThresholdImageFilter in order to support a fully functional API
Image itk::simple::ConstantPad | ( | const Image & | image1, |
const std::vector< unsigned int > & | padLowerBound = std::vector< unsigned int >(3, 0) , |
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const std::vector< unsigned int > & | padUpperBound = std::vector< unsigned int >(3, 0) , |
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double | constant = 0.0 |
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) |
Increase the image size by padding with a constant value.
This function directly calls the execute method of ConstantPadImageFilter in order to support a procedural API
Image itk::simple::Convolution | ( | const Image & | image, |
const Image & | kernelImage, | ||
bool | normalize = false , |
||
ConvolutionImageFilter::BoundaryConditionType | boundaryCondition = itk::simple::ConvolutionImageFilter::ZERO_FLUX_NEUMANN_PAD , |
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ConvolutionImageFilter::OutputRegionModeType | outputRegionMode = itk::simple::ConvolutionImageFilter::SAME |
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) |
Convolve a given image with an arbitrary image kernel.
This function directly calls the execute method of ConvolutionImageFilter in order to support a procedural API
Computes the cosine of each pixel.
This function directly calls the execute method of CosImageFilter in order to support a procedural API
itk::FlatStructuringElement< VImageDimension > itk::simple::CreateKernel | ( | KernelEnum | kernelType, |
const std::vector< uint32_t > & | size | ||
) |
Definition at line 36 of file sitkCreateKernel.h.
References sitkAnnulus, sitkBall, sitkBox, sitkCross, sitkExceptionMacro, and sitkKernelPolygonCreateMacro.
Image itk::simple::Crop | ( | const Image & | image1, |
const std::vector< unsigned int > & | lowerBoundaryCropSize = std::vector< unsigned int >(3, 0) , |
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const std::vector< unsigned int > & | upperBoundaryCropSize = std::vector< unsigned int >(3, 0) |
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) |
Decrease the image size by cropping the image by an itk::Size at both the upper and lower bounds of the largest possible region.
This function directly calls the execute method of CropImageFilter in order to support a procedural API
Referenced by itk::simple::LabelMapMaskImageFilter::SetCrop().
Image itk::simple::CurvatureAnisotropicDiffusion | ( | const Image & | image1, |
double | timeStep = 0.0625 , |
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double | conductanceParameter = 3 , |
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unsigned int | conductanceScalingUpdateInterval = 1u , |
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uint32_t | numberOfIterations = 5u |
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) |
itk::simple::CurvatureAnisotropicDiffusionImageFilter Procedural Interface
This function directly calls the execute method of CurvatureAnisotropicDiffusionImageFilter in order to support a procedural API
Image itk::simple::CurvatureFlow | ( | const Image & | image1, |
double | timeStep = 0.05 , |
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uint32_t | numberOfIterations = 5u |
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) |
Denoise an image using curvature driven flow.
This function directly calls the execute method of CurvatureFlowImageFilter in order to support a procedural API
Image itk::simple::CyclicShift | ( | const Image & | image1, |
const std::vector< int > & | shift = std::vector< int >(3, 0) |
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) |
Perform a cyclic spatial shift of image intensities on the image grid.
This function directly calls the execute method of CyclicShiftImageFilter in order to support a procedural API
Image itk::simple::DanielssonDistanceMap | ( | const Image & | image1, |
bool | inputIsBinary = false , |
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bool | squaredDistance = false , |
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bool | useImageSpacing = false |
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) |
This filter computes the distance map of the input image as an approximation with pixel accuracy to the Euclidean distance.
This function directly calls the execute method of DanielssonDistanceMapImageFilter in order to support a procedural API
Image itk::simple::Derivative | ( | const Image & | image1, |
unsigned int | direction = 0u , |
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unsigned int | order = 1u , |
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bool | useImageSpacing = true |
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) |
Computes the directional derivative of an image. The directional derivative at each pixel location is computed by convolution with a derivative operator of user-specified order.
This function directly calls the execute method of DerivativeImageFilter in order to support a procedural API
Image itk::simple::DilateObjectMorphology | ( | const Image & | , |
uint32_t | radius = 1 , |
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KernelEnum | kernel = sitkBall , |
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double | objectValue = 1 |
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) |
itk::simple::DilateObjectMorphologyImageFilter Functional Interface
This function directly calls the execute method of DilateObjectMorphologyImageFilter in order to support a fully functional API
Image itk::simple::DilateObjectMorphology | ( | const Image & | , |
const std::vector< uint32_t > | vectorRadius, | ||
KernelEnum | kernel = sitkBall , |
||
double | objectValue = 1 |
||
) |
itk::simple::DilateObjectMorphologyImageFilter Functional Interface
This function directly calls the execute method of DilateObjectMorphologyImageFilter in order to support a fully functional API
Image itk::simple::DiscreteGaussian | ( | const Image & | image1, |
double | variance, | ||
unsigned int | maximumKernelWidth = 32u , |
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double | maximumError = 0.01 , |
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bool | useImageSpacing = true |
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) |
Blurs an image by separable convolution with discrete gaussian kernels. This filter performs Gaussian blurring by separable convolution of an image and a discrete Gaussian operator (kernel).
This function directly calls the execute method of DiscreteGaussianImageFilter in order to support a procedural API
Image itk::simple::DiscreteGaussian | ( | const Image & | image1, |
const std::vector< double > & | variance = std::vector< double >(3, 1.0) , |
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unsigned int | maximumKernelWidth = 32u , |
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const std::vector< double > & | maximumError = std::vector< double >(3, 0.01) , |
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bool | useImageSpacing = true |
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) |
Blurs an image by separable convolution with discrete gaussian kernels. This filter performs Gaussian blurring by separable convolution of an image and a discrete Gaussian operator (kernel).
This function directly calls the execute method of DiscreteGaussianImageFilter in order to support a procedural API
Image itk::simple::DiscreteGaussianDerivative | ( | const Image & | image1, |
const std::vector< double > & | variance = std::vector< double >(3, 0.0) , |
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const std::vector< unsigned int > & | order = std::vector< unsigned int >(3, 1) , |
||
unsigned int | maximumKernelWidth = 32u , |
||
double | maximumError = 0.01 , |
||
bool | useImageSpacing = true , |
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bool | normalizeAcrossScale = false |
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) |
Calculates image derivatives using discrete derivative gaussian kernels. This filter calculates Gaussian derivative by separable convolution of an image and a discrete Gaussian derivative operator (kernel).
This function directly calls the execute method of DiscreteGaussianDerivativeImageFilter in order to support a procedural API
Image itk::simple::DisplacementFieldJacobianDeterminant | ( | const Image & | image1, |
bool | useImageSpacing = true , |
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const std::vector< double > & | derivativeWeights = std::vector< double >() |
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) |
Computes a scalar image from a vector image (e.g., deformation field) input, where each output scalar at each pixel is the Jacobian determinant of the vector field at that location. This calculation is correct in the case where the vector image is a "displacement" from the current location. The computation for the jacobian determinant is: det[ dT/dx ] = det[ I + du/dx ].
This function directly calls the execute method of DisplacementFieldJacobianDeterminantFilter in order to support a procedural API
Pixel-wise division of two images.
This function directly calls the execute method of DivideImageFilter in order to support a procedural API
Referenced by operator/(), and operator/=().
Implements pixel-wise generic operation of two images, or of an image and a constant.
This function directly calls the execute method of DivideFloorImageFilter in order to support a procedural API
Implements pixel-wise generic operation of two images, or of an image and a constant.
This function directly calls the execute method of DivideRealImageFilter in order to support a procedural API
Image itk::simple::DoubleThreshold | ( | const Image & | image1, |
double | threshold1 = 0.0 , |
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double | threshold2 = 1.0 , |
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double | threshold3 = 254.0 , |
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double | threshold4 = 255.0 , |
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uint8_t | insideValue = 1u , |
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uint8_t | outsideValue = 0u , |
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bool | fullyConnected = false |
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) |
Binarize an input image using double thresholding.
This function directly calls the execute method of DoubleThresholdImageFilter in order to support a procedural API
Computes the edge potential of an image from the image gradient.
This function directly calls the execute method of EdgePotentialImageFilter in order to support a procedural API
Image itk::simple::Equal | ( | const Image & | image1, |
const Image & | image2, | ||
uint8_t | backgroundValue = 0u , |
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uint8_t | foregroundValue = 1u |
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) |
Implements pixel-wise generic operation of two images, or of an image and a constant.
This function directly calls the execute method of EqualImageFilter in order to support a procedural API
Image itk::simple::Equal | ( | const Image & | image1, |
double | constant, | ||
uint8_t | backgroundValue = 0u , |
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uint8_t | foregroundValue = 1u |
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) |
Image itk::simple::Equal | ( | double | constant, |
const Image & | image2, | ||
uint8_t | backgroundValue = 0u , |
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uint8_t | foregroundValue = 1u |
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) |
Image itk::simple::ErodeObjectMorphology | ( | const Image & | , |
uint32_t | radius = 1 , |
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KernelEnum | kernel = sitkBall , |
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double | objectValue = 1 , |
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double | backgroundValue = 0 |
||
) |
itk::simple::ErodeObjectMorphologyImageFilter Functional Interface
This function directly calls the execute method of ErodeObjectMorphologyImageFilter in order to support a fully functional API
Image itk::simple::ErodeObjectMorphology | ( | const Image & | , |
const std::vector< uint32_t > | vectorRadius, | ||
KernelEnum | kernel = sitkBall , |
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double | objectValue = 1 , |
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double | backgroundValue = 0 |
||
) |
itk::simple::ErodeObjectMorphologyImageFilter Functional Interface
This function directly calls the execute method of ErodeObjectMorphologyImageFilter in order to support a fully functional API
Computes the exponential function of each pixel.
This function directly calls the execute method of ExpImageFilter in order to support a procedural API
Image itk::simple::Expand | ( | const Image & | image1, |
const std::vector< unsigned int > & | expandFactors = std::vector< unsigned int >(3, 1) , |
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InterpolatorEnum | interpolator = itk::simple::sitkLinear |
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) |
Expand the size of an image by an integer factor in each dimension.
This function directly calls the execute method of ExpandImageFilter in order to support a procedural API
Computes the function exp(-K.x) for each input pixel.
This function directly calls the execute method of ExpNegativeImageFilter in order to support a procedural API
Image itk::simple::Extract | ( | const Image & | image1, |
const std::vector< unsigned int > & | size = std::vector< unsigned int >(4, 1) , |
||
const std::vector< int > & | index = std::vector< int >(4, 0) , |
||
ExtractImageFilter::DirectionCollapseToStrategyType | directionCollapseToStrategy = itk::simple::ExtractImageFilter::DIRECTIONCOLLAPSETOGUESS |
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) |
Decrease the image size by cropping the image to the selected region bounds.
This function directly calls the execute method of ExtractImageFilter in order to support a procedural API
Image itk::simple::FastApproximateRank | ( | const Image & | image1, |
double | rank = 0.5 , |
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const std::vector< unsigned int > & | radius = std::vector< unsigned int >(3, 1) |
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) |
A separable rank filter.
This function directly calls the execute method of FastApproximateRankImageFilter in order to support a procedural API
Image itk::simple::FastMarching | ( | const Image & | image1, |
const std::vector< std::vector< unsigned int > > & | trialPoints = std::vector< std::vector< unsigned int > >() , |
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double | normalizationFactor = 1.0 , |
||
double | stoppingValue = std::numeric_limits< double >::max()/2.0 |
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) |
Solve an Eikonal equation using Fast Marching.
This function directly calls the execute method of FastMarchingImageFilter in order to support a procedural API
Image itk::simple::FastMarchingBase | ( | const Image & | imageA, |
std::vector< std::vector< unsigned int > > | trialPoints, | ||
double | normalizationFactor = 1.0 , |
||
double | stoppingValue = std::numeric_limits< float >::max()/2.0 , |
||
FastMarchingBaseImageFilter::TopologyCheckType | topologyCheck = itk::simple::FastMarchingBaseImageFilter::Nothing |
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) |
itk::simple::FastMarchingBaseImageFilter Functional Interface
This function directly calls the execute method of FastMarchingBaseImageFilter in order to support a fully functional API
Image itk::simple::FastMarchingUpwindGradient | ( | const Image & | image1, |
const std::vector< std::vector< unsigned int > > & | trialPoints = std::vector< std::vector< unsigned int > >() , |
||
unsigned int | numberOfTargets = 0u , |
||
const std::vector< std::vector< unsigned int > > & | targetPoints = std::vector< std::vector< unsigned int > >() , |
||
double | targetOffset = 1 , |
||
double | normalizationFactor = 1.0 |
||
) |
Generates the upwind gradient field of fast marching arrival times.
This function directly calls the execute method of FastMarchingUpwindGradientImageFilter in order to support a procedural API
Image itk::simple::FFTConvolution | ( | const Image & | image, |
const Image & | kernelImage, | ||
bool | normalize = false , |
||
FFTConvolutionImageFilter::BoundaryConditionType | boundaryCondition = itk::simple::FFTConvolutionImageFilter::ZERO_FLUX_NEUMANN_PAD , |
||
FFTConvolutionImageFilter::OutputRegionModeType | outputRegionMode = itk::simple::FFTConvolutionImageFilter::SAME |
||
) |
Convolve a given image with an arbitrary image kernel using multiplication in the Fourier domain.
This function directly calls the execute method of FFTConvolutionImageFilter in order to support a procedural API
Image itk::simple::FFTNormalizedCorrelation | ( | const Image & | image1, |
const Image & | image2, | ||
uint64_t | requiredNumberOfOverlappingPixels = 0u |
||
) |
Calculate normalized cross correlation using FFTs.
This function directly calls the execute method of FFTNormalizedCorrelationImageFilter in order to support a procedural API
Image itk::simple::FFTPad | ( | const Image & | image1, |
FFTPadImageFilter::BoundaryConditionType | boundaryCondition = itk::simple::FFTPadImageFilter::ZERO_FLUX_NEUMANN_PAD , |
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int | sizeGreatestPrimeFactor = 5 |
||
) |
Pad an image to make it suitable for an FFT transformation.
This function directly calls the execute method of FFTPadImageFilter in order to support a procedural API
Shift the zero-frequency components of a Fourier transform to the center of the image.
This function directly calls the execute method of FFTShiftImageFilter in order to support a procedural API
Image itk::simple::Flip | ( | const Image & | image1, |
const std::vector< bool > & | flipAxes = std::vector< bool >(3, false) , |
||
bool | flipAboutOrigin = false |
||
) |
Flips an image across user specified axes.
This function directly calls the execute method of FlipImageFilter in order to support a procedural API
Base class for forward Fast Fourier Transform .
This function directly calls the execute method of ForwardFFTImageFilter in order to support a procedural API
Image itk::simple::GaborSource | ( | PixelIDValueEnum | outputPixelType = itk::simple::sitkFloat32 , |
const std::vector< unsigned int > & | size = std::vector< unsigned int >(3, 64) , |
||
const std::vector< double > & | sigma = std::vector< double >(3, 16.0) , |
||
const std::vector< double > & | mean = std::vector< double >(3, 32.0) , |
||
double | frequency = 0.4 , |
||
const std::vector< double > & | origin = std::vector< double >(3, 0.0) , |
||
const std::vector< double > & | spacing = std::vector< double >(3, 1.0) , |
||
std::vector< double > | direction = std::vector< double >() |
||
) |
Generate an n-dimensional image of a Gabor filter.
This function directly calls the execute method of GaborImageSource in order to support a procedural API
Image itk::simple::GaussianSource | ( | PixelIDValueEnum | outputPixelType = itk::simple::sitkFloat32 , |
const std::vector< unsigned int > & | size = std::vector< unsigned int >(3, 64) , |
||
const std::vector< double > & | sigma = std::vector< double >(3, 16.0) , |
||
const std::vector< double > & | mean = std::vector< double >(3, 32.0) , |
||
double | scale = 255 , |
||
const std::vector< double > & | origin = std::vector< double >(3, 0.0) , |
||
const std::vector< double > & | spacing = std::vector< double >(3, 1.0) , |
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std::vector< double > | direction = std::vector< double >() , |
||
bool | normalized = false |
||
) |
Generate an n-dimensional image of a Gaussian.
This function directly calls the execute method of GaussianImageSource in order to support a procedural API