SimpleITK
2.0.0
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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). More...
#include <sitkDiscreteGaussianDerivativeImageFilter.h>
Public Types | |
using | PixelIDTypeList = BasicPixelIDTypeList |
using | Self = DiscreteGaussianDerivativeImageFilter |
Public Types inherited from itk::simple::ImageFilter | |
using | Self = ImageFilter |
Public Types inherited from itk::simple::ProcessObject | |
using | Self = ProcessObject |
Public Member Functions | |
DiscreteGaussianDerivativeImageFilter () | |
Image | Execute (const Image &image1) |
double | GetMaximumError () const |
unsigned int | GetMaximumKernelWidth () const |
std::string | GetName () const |
bool | GetNormalizeAcrossScale () const |
std::vector< unsigned int > | GetOrder () const |
bool | GetUseImageSpacing () const |
std::vector< double > | GetVariance () const |
Self & | NormalizeAcrossScaleOff () |
Self & | NormalizeAcrossScaleOn () |
Self & | SetMaximumError (double MaximumError) |
Self & | SetMaximumKernelWidth (unsigned int MaximumKernelWidth) |
Self & | SetNormalizeAcrossScale (bool NormalizeAcrossScale) |
Self & | SetOrder (std::vector< unsigned int > Order) |
Self & | SetOrder (unsigned int value) |
Self & | SetUseImageSpacing (bool UseImageSpacing) |
Self & | SetVariance (double value) |
Self & | SetVariance (std::vector< double > Variance) |
std::string | ToString () const |
Self & | UseImageSpacingOff () |
Self & | UseImageSpacingOn () |
virtual | ~DiscreteGaussianDerivativeImageFilter () |
Public Member Functions inherited from itk::simple::ImageFilter | |
ImageFilter () | |
virtual | ~ImageFilter ()=0 |
Public Member Functions inherited from itk::simple::ProcessObject | |
virtual void | Abort () |
virtual int | AddCommand (itk::simple::EventEnum event, const std::function< void()> &func) |
Directly add a callback to observe an event. More... | |
virtual int | AddCommand (itk::simple::EventEnum event, itk::simple::Command &cmd) |
Add a Command Object to observer the event. More... | |
virtual float | GetProgress () const |
An Active Measurement of the progress of execution. More... | |
virtual bool | HasCommand (itk::simple::EventEnum event) const |
Query of this object has any registered commands for event. More... | |
ProcessObject () | |
virtual void | RemoveAllCommands () |
Remove all registered commands. More... | |
virtual | ~ProcessObject () |
virtual void | DebugOn () |
virtual void | DebugOff () |
virtual bool | GetDebug () const |
virtual void | SetDebug (bool debugFlag) |
virtual void | SetNumberOfThreads (unsigned int n) |
virtual unsigned int | GetNumberOfThreads () const |
virtual void | SetNumberOfWorkUnits (unsigned int n) |
virtual unsigned int | GetNumberOfWorkUnits () const |
Private Types | |
using | MemberFunctionType = Image(Self::*)(const Image &image1) |
Private Member Functions | |
template<class TImageType > | |
Image | ExecuteInternal (const Image &image1) |
Private Attributes | |
double | m_MaximumError {0.01} |
unsigned int | m_MaximumKernelWidth {32u} |
std::unique_ptr< detail::MemberFunctionFactory< MemberFunctionType > > | m_MemberFactory |
bool | m_NormalizeAcrossScale {false} |
std::vector< unsigned int > | m_Order {std::vector<unsigned int>(3, 1)} |
bool | m_UseImageSpacing {true} |
std::vector< double > | m_Variance {std::vector<double>(3, 0.0)} |
Friends | |
struct | detail::MemberFunctionAddressor< MemberFunctionType > |
Additional Inherited Members | |
Static Public Member Functions inherited from itk::simple::ProcessObject | |
static bool | GetGlobalDefaultDebug () |
static void | GlobalDefaultDebugOff () |
static void | GlobalDefaultDebugOn () |
static void | SetGlobalDefaultDebug (bool debugFlag) |
static void | GlobalWarningDisplayOn () |
static void | GlobalWarningDisplayOff () |
static void | SetGlobalWarningDisplay (bool flag) |
static bool | GetGlobalWarningDisplay () |
static double | GetGlobalDefaultCoordinateTolerance () |
Access the global tolerance to determine congruent spaces. More... | |
static void | SetGlobalDefaultCoordinateTolerance (double) |
Access the global tolerance to determine congruent spaces. More... | |
static double | GetGlobalDefaultDirectionTolerance () |
Access the global tolerance to determine congruent spaces. More... | |
static void | SetGlobalDefaultDirectionTolerance (double) |
Access the global tolerance to determine congruent spaces. More... | |
static bool | SetGlobalDefaultThreader (const std::string &threader) |
Set/Get the default threader used for process objects. More... | |
static std::string | GetGlobalDefaultThreader () |
Set/Get the default threader used for process objects. More... | |
static void | SetGlobalDefaultNumberOfThreads (unsigned int n) |
static unsigned int | GetGlobalDefaultNumberOfThreads () |
Set/Get the default threader used for process objects. More... | |
Protected Member Functions inherited from itk::simple::ImageFilter | |
void | CheckImageMatchingDimension (const Image &image1, const Image &image2, const std::string &image2Name) |
void | CheckImageMatchingPixelType (const Image &image1, const Image &image2, const std::string &image2Name) |
void | CheckImageMatchingSize (const Image &image1, const Image &image2, const std::string &image2Name) |
Protected Member Functions inherited from itk::simple::ProcessObject | |
virtual unsigned long | AddITKObserver (const itk::EventObject &, itk::Command *) |
virtual itk::ProcessObject * | GetActiveProcess () |
virtual void | OnActiveProcessDelete () |
virtual void | onCommandDelete (const itk::simple::Command *cmd) noexcept |
virtual void | PreUpdate (itk::ProcessObject *p) |
virtual void | RemoveITKObserver (EventCommand &e) |
Protected Member Functions inherited from itk::simple::NonCopyable | |
NonCopyable ()=default | |
NonCopyable (const NonCopyable &)=delete | |
NonCopyable & | operator= (const NonCopyable &)=delete |
Static Protected Member Functions inherited from itk::simple::ImageFilter | |
template<class TImageType > | |
static void | FixNonZeroIndex (TImageType *img) |
Static Protected Member Functions inherited from itk::simple::ProcessObject | |
template<class TImageType > | |
static TImageType::ConstPointer | CastImageToITK (const Image &img) |
template<class TPixelType , unsigned int VImageDimension, unsigned int VLength, template< typename, unsigned int > class TVector> | |
static Image | CastITKToImage (itk::Image< TVector< TPixelType, VLength >, VImageDimension > *img) |
template<class TImageType > | |
static Image | CastITKToImage (TImageType *img) |
static const itk::EventObject & | GetITKEventObject (EventEnum e) |
template<typename T > | |
static std::ostream & | ToStringHelper (std::ostream &os, const T &v) |
static std::ostream & | ToStringHelper (std::ostream &os, const char &v) |
static std::ostream & | ToStringHelper (std::ostream &os, const signed char &v) |
static std::ostream & | ToStringHelper (std::ostream &os, const unsigned char &v) |
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).
The Gaussian operators used here were described by Tony Lindeberg (Discrete Scale-Space Theory and the Scale-Space Primal Sketch. Dissertation. Royal Institute of Technology, Stockholm, Sweden. May 1991.)
The variance or standard deviation (sigma) will be evaluated as pixel units if SetUseImageSpacing is off (false) or as physical units if SetUseImageSpacing is on (true, default). The variance can be set independently in each dimension.
When the Gaussian kernel is small, this filter tends to run faster than itk::RecursiveGaussianImageFilter .
This implementation was taken from the Insight Journal paper: https://hdl.handle.net/1926/1290
Definition at line 62 of file sitkDiscreteGaussianDerivativeImageFilter.h.
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Setup for member function dispatching
Definition at line 166 of file sitkDiscreteGaussianDerivativeImageFilter.h.
Define the pixels types supported by this filter
Definition at line 74 of file sitkDiscreteGaussianDerivativeImageFilter.h.
using itk::simple::DiscreteGaussianDerivativeImageFilter::Self = DiscreteGaussianDerivativeImageFilter |
Definition at line 64 of file sitkDiscreteGaussianDerivativeImageFilter.h.
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Destructor
itk::simple::DiscreteGaussianDerivativeImageFilter::DiscreteGaussianDerivativeImageFilter | ( | ) |
Default Constructor that takes no arguments and initializes default parameters
Execute the filter on the input image
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The algorithm will size the discrete kernel so that the error resulting from truncation of the kernel is no greater than MaximumError. The default is 0.01 in each dimension.
Definition at line 121 of file sitkDiscreteGaussianDerivativeImageFilter.h.
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Set the kernel to be no wider than MaximumKernelWidth pixels, even if MaximumError demands it. The default is 32 pixels.
Definition at line 111 of file sitkDiscreteGaussianDerivativeImageFilter.h.
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Name of this class
Implements itk::simple::ProcessObject.
Definition at line 152 of file sitkDiscreteGaussianDerivativeImageFilter.h.
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Set/Get the flag for calculating scale-space normalized derivatives. Normalized derivatives are obtained multiplying by the scale parameter t.
Definition at line 149 of file sitkDiscreteGaussianDerivativeImageFilter.h.
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Order of derivatives in each dimension. Sets the derivative order independently for each dimension, but see also SetOrder(const unsigned int v) . The default is 1 in each dimension.
Definition at line 101 of file sitkDiscreteGaussianDerivativeImageFilter.h.
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Set/Get whether or not the filter will use the spacing of the input image in its calculations. Default is ImageSpacingOn.
Definition at line 135 of file sitkDiscreteGaussianDerivativeImageFilter.h.
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The variance for the discrete Gaussian kernel. Sets the variance independently for each dimension, but see also SetVariance(const double v) . The default is 0.0 in each dimension. If UseImageSpacing is true, the units are the physical units of your image. If UseImageSpacing is false then the units are pixels.
Definition at line 88 of file sitkDiscreteGaussianDerivativeImageFilter.h.
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Definition at line 144 of file sitkDiscreteGaussianDerivativeImageFilter.h.
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Set the value of NormalizeAcrossScale to true or false respectfully.
Definition at line 143 of file sitkDiscreteGaussianDerivativeImageFilter.h.
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Convenience Set methods for setting all dimensional parameters to the same values.
Definition at line 116 of file sitkDiscreteGaussianDerivativeImageFilter.h.
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Set the kernel to be no wider than MaximumKernelWidth pixels, even if MaximumError demands it. The default is 32 pixels.
Definition at line 106 of file sitkDiscreteGaussianDerivativeImageFilter.h.
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Set/Get the flag for calculating scale-space normalized derivatives. Normalized derivatives are obtained multiplying by the scale parameter t.
Definition at line 140 of file sitkDiscreteGaussianDerivativeImageFilter.h.
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Convenience Set methods for setting all dimensional parameters to the same values.
Definition at line 93 of file sitkDiscreteGaussianDerivativeImageFilter.h.
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Set the values of the Order vector all to value
Definition at line 96 of file sitkDiscreteGaussianDerivativeImageFilter.h.
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Set/Get whether or not the filter will use the spacing of the input image in its calculations. Default is ImageSpacingOn.
Definition at line 126 of file sitkDiscreteGaussianDerivativeImageFilter.h.
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Set the values of the Variance vector all to value
Definition at line 83 of file sitkDiscreteGaussianDerivativeImageFilter.h.
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Convenience Set methods for setting all dimensional parameters to the same values.
Definition at line 80 of file sitkDiscreteGaussianDerivativeImageFilter.h.
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Print ourselves out
Reimplemented from itk::simple::ProcessObject.
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Definition at line 130 of file sitkDiscreteGaussianDerivativeImageFilter.h.
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Set the value of UseImageSpacing to true or false respectfully.
Definition at line 129 of file sitkDiscreteGaussianDerivativeImageFilter.h.
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Definition at line 170 of file sitkDiscreteGaussianDerivativeImageFilter.h.
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Definition at line 181 of file sitkDiscreteGaussianDerivativeImageFilter.h.
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Definition at line 179 of file sitkDiscreteGaussianDerivativeImageFilter.h.
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Definition at line 172 of file sitkDiscreteGaussianDerivativeImageFilter.h.
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Definition at line 185 of file sitkDiscreteGaussianDerivativeImageFilter.h.
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Definition at line 177 of file sitkDiscreteGaussianDerivativeImageFilter.h.
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Definition at line 183 of file sitkDiscreteGaussianDerivativeImageFilter.h.
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Definition at line 175 of file sitkDiscreteGaussianDerivativeImageFilter.h.