SimpleITK
1.0.1
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Blurs an image while preserving edges. More...
#include <sitkBilateralImageFilter.h>
Public Types | |
typedef BasicPixelIDTypeList | PixelIDTypeList |
typedef BilateralImageFilter | Self |
Public Types inherited from itk::simple::ImageFilter< 1 > | |
typedef ImageFilter | Self |
Public Types inherited from itk::simple::ProcessObject | |
typedef ProcessObject | Self |
Public Member Functions | |
BilateralImageFilter () | |
Image | Execute (const Image &image1) |
Image | Execute (const Image &image1, double domainSigma, double rangeSigma, unsigned int numberOfRangeGaussianSamples) |
double | GetDomainSigma () const |
std::string | GetName () const |
unsigned int | GetNumberOfRangeGaussianSamples () const |
double | GetRangeSigma () const |
Self & | SetDomainSigma (double DomainSigma) |
Self & | SetNumberOfRangeGaussianSamples (unsigned int NumberOfRangeGaussianSamples) |
Self & | SetRangeSigma (double RangeSigma) |
std::string | ToString () const |
~BilateralImageFilter () | |
Public Member Functions inherited from itk::simple::ImageFilter< 1 > | |
ImageFilter () | |
virtual | ~ImageFilter ()=0 |
Public Member Functions inherited from itk::simple::ProcessObject | |
virtual void | Abort () |
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 |
Private Types | |
typedef Image(Self::* | MemberFunctionType) (const Image &image1) |
Private Member Functions | |
template<class TImageType > | |
Image | ExecuteInternal (const Image &image1) |
template<class TImageType > | |
Image | ExecuteInternalVectorImage (const Image &image) |
Private Attributes | |
double | m_DomainSigma |
nsstd::auto_ptr< detail::MemberFunctionFactory< MemberFunctionType > > | m_MemberFactory |
unsigned int | m_NumberOfRangeGaussianSamples |
double | m_RangeSigma |
Friends | |
struct | detail::ExecuteInternalVectorImageAddressor< MemberFunctionType > |
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 void | SetGlobalDefaultNumberOfThreads (unsigned int n) |
static unsigned int | GetGlobalDefaultNumberOfThreads () |
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... | |
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) throw () |
virtual void | PreUpdate (itk::ProcessObject *p) |
virtual void | RemoveITKObserver (EventCommand &e) |
Protected Member Functions inherited from itk::simple::NonCopyable | |
NonCopyable () | |
Static Protected Member Functions inherited from itk::simple::ImageFilter< 1 > | |
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 TImageType > | |
static Image | CastITKToImage (TImageType *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) |
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) |
Blurs an image while preserving edges.
This filter uses bilateral filtering to blur an image using both domain and range "neighborhoods". Pixels that are close to a pixel in the image domain and similar to a pixel in the image range are used to calculate the filtered value. Two gaussian kernels (one in the image domain and one in the image range) are used to smooth the image. The result is an image that is smoothed in homogeneous regions yet has edges preserved. The result is similar to anisotropic diffusion but the implementation in non-iterative. Another benefit to bilateral filtering is that any distance metric can be used for kernel smoothing the image range. Hence, color images can be smoothed as vector images, using the CIE distances between intensity values as the similarity metric (the Gaussian kernel for the image domain is evaluated using CIE distances). A separate version of this filter will be designed for color and vector images.
Bilateral filtering is capable of reducing the noise in an image by an order of magnitude while maintaining edges.
The bilateral operator used here was described by Tomasi and Manduchi (Bilateral Filtering for Gray and ColorImages. IEEE ICCV. 1998.)
TodoSupport color images
Support vector images
Definition at line 70 of file sitkBilateralImageFilter.h.
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private |
Setup for member function dispatching
Definition at line 134 of file sitkBilateralImageFilter.h.
Define the pixels types supported by this filter
Definition at line 82 of file sitkBilateralImageFilter.h.
Definition at line 72 of file sitkBilateralImageFilter.h.
itk::simple::BilateralImageFilter::BilateralImageFilter | ( | ) |
Default Constructor that takes no arguments and initializes default parameters
itk::simple::BilateralImageFilter::~BilateralImageFilter | ( | ) |
Destructor
Execute the filter on the input image
Image itk::simple::BilateralImageFilter::Execute | ( | const Image & | image1, |
double | domainSigma, | ||
double | rangeSigma, | ||
unsigned int | numberOfRangeGaussianSamples | ||
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Execute the filter on the input image with the given parameters
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Dispatched methods which calls ExecuteInteral on each component
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Standard get/set macros for filter parameters. DomainSigma is specified in the same units as the Image spacing. RangeSigma is specified in the units of intensity.
Definition at line 94 of file sitkBilateralImageFilter.h.
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Name of this class
Implements itk::simple::ProcessObject.
Definition at line 116 of file sitkBilateralImageFilter.h.
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Set/Get the number of samples in the approximation to the Gaussian used for the range smoothing. Samples are only generated in the range of [0, 4*m_RangeSigma]. Default is 100.
Definition at line 114 of file sitkBilateralImageFilter.h.
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Standard get/set macros for filter parameters. DomainSigma is specified in the same units as the Image spacing. RangeSigma is specified in the units of intensity.
Definition at line 104 of file sitkBilateralImageFilter.h.
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Convenience get/set methods for setting all domain parameters to the same values.
Definition at line 89 of file sitkBilateralImageFilter.h.
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Set/Get the number of samples in the approximation to the Gaussian used for the range smoothing. Samples are only generated in the range of [0, 4*m_RangeSigma]. Default is 100.
Definition at line 109 of file sitkBilateralImageFilter.h.
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Standard get/set macros for filter parameters. DomainSigma is specified in the same units as the Image spacing. RangeSigma is specified in the units of intensity.
Definition at line 99 of file sitkBilateralImageFilter.h.
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Print ourselves out
Reimplemented from itk::simple::ProcessObject.
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Definition at line 141 of file sitkBilateralImageFilter.h.
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Definition at line 140 of file sitkBilateralImageFilter.h.
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Definition at line 145 of file sitkBilateralImageFilter.h.
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Definition at line 142 of file sitkBilateralImageFilter.h.
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Definition at line 147 of file sitkBilateralImageFilter.h.
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Definition at line 146 of file sitkBilateralImageFilter.h.