SimpleITK  1.0.1
Public Types | Public Member Functions | Private Types | Private Member Functions | Private Attributes | Friends | List of all members
itk::simple::HistogramMatchingImageFilter Class Reference

Normalize the grayscale values between two images by histogram matching. More...

#include <sitkHistogramMatchingImageFilter.h>

+ Inheritance diagram for itk::simple::HistogramMatchingImageFilter:
+ Collaboration diagram for itk::simple::HistogramMatchingImageFilter:

Public Types

typedef BasicPixelIDTypeList PixelIDTypeList
 
typedef HistogramMatchingImageFilter Self
 
- Public Types inherited from itk::simple::ImageFilter< 2 >
typedef ImageFilter Self
 
- Public Types inherited from itk::simple::ProcessObject
typedef ProcessObject Self
 

Public Member Functions

Image Execute (const Image &image1, const Image &image2)
 
Image Execute (const Image &image1, const Image &image2, uint32_t numberOfHistogramLevels, uint32_t numberOfMatchPoints, bool thresholdAtMeanIntensity)
 
std::string GetName () const
 
uint32_t GetNumberOfHistogramLevels () const
 
uint32_t GetNumberOfMatchPoints () const
 
bool GetThresholdAtMeanIntensity () const
 
 HistogramMatchingImageFilter ()
 
SelfSetNumberOfHistogramLevels (uint32_t NumberOfHistogramLevels)
 
SelfSetNumberOfMatchPoints (uint32_t NumberOfMatchPoints)
 
SelfSetThresholdAtMeanIntensity (bool ThresholdAtMeanIntensity)
 
SelfThresholdAtMeanIntensityOff ()
 
SelfThresholdAtMeanIntensityOn ()
 
std::string ToString () const
 
 ~HistogramMatchingImageFilter ()
 
- Public Member Functions inherited from itk::simple::ImageFilter< 2 >
 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, const Image &image2)
 

Private Member Functions

template<class TImageType >
Image ExecuteInternal (const Image &image1, const Image &image2)
 

Private Attributes

nsstd::auto_ptr< detail::MemberFunctionFactory< MemberFunctionType > > m_MemberFactory
 
uint32_t m_NumberOfHistogramLevels
 
uint32_t m_NumberOfMatchPoints
 
bool m_ThresholdAtMeanIntensity
 

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 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::ProcessObjectGetActiveProcess ()
 
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< 2 >
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::EventObjectGetITKEventObject (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)
 

Detailed Description

Normalize the grayscale values between two images by histogram matching.

HistogramMatchingImageFilter normalizes the grayscale values of a source image based on the grayscale values of a reference image. This filter uses a histogram matching technique where the histograms of the two images are matched only at a specified number of quantile values.

This filter was originally designed to normalize MR images of the same MR protocol and same body part. The algorithm works best if background pixels are excluded from both the source and reference histograms. A simple background exclusion method is to exclude all pixels whose grayscale values are smaller than the mean grayscale value. ThresholdAtMeanIntensityOn() switches on this simple background exclusion method.

The source image can be set via either SetInput() or SetSourceImage() . The reference image can be set via SetReferenceImage() .

SetNumberOfHistogramLevels() sets the number of bins used when creating histograms of the source and reference images. SetNumberOfMatchPoints() governs the number of quantile values to be matched.

This filter assumes that both the source and reference are of the same type and that the input and output image type have the same number of dimension and have scalar pixel types.

REFERENCE
Laszlo G. Nyul, Jayaram K. Udupa, and Xuan Zhang, "New Variants of a Method of MRI Scale Standardization", IEEE Transactions on Medical Imaging, 19(2):143-150, 2000.
See also
itk::simple::HistogramMatching for the procedural interface
itk::HistogramMatchingImageFilter for the Doxygen on the original ITK class.
Examples:
DemonsRegistration1/DemonsRegistration1.cxx, and DemonsRegistration2/DemonsRegistration2.cxx.

Definition at line 54 of file sitkHistogramMatchingImageFilter.h.

Member Typedef Documentation

typedef Image(Self::* itk::simple::HistogramMatchingImageFilter::MemberFunctionType) (const Image &image1, const Image &image2)
private

Setup for member function dispatching

Definition at line 122 of file sitkHistogramMatchingImageFilter.h.

Define the pixels types supported by this filter

Definition at line 66 of file sitkHistogramMatchingImageFilter.h.

Definition at line 56 of file sitkHistogramMatchingImageFilter.h.

Constructor & Destructor Documentation

itk::simple::HistogramMatchingImageFilter::HistogramMatchingImageFilter ( )

Default Constructor that takes no arguments and initializes default parameters

itk::simple::HistogramMatchingImageFilter::~HistogramMatchingImageFilter ( )

Destructor

Member Function Documentation

Image itk::simple::HistogramMatchingImageFilter::Execute ( const Image image1,
const Image image2 
)

Execute the filter on the input images

Examples:
DemonsRegistration1/DemonsRegistration1.cxx, and DemonsRegistration2/DemonsRegistration2.cxx.
Image itk::simple::HistogramMatchingImageFilter::Execute ( const Image image1,
const Image image2,
uint32_t  numberOfHistogramLevels,
uint32_t  numberOfMatchPoints,
bool  thresholdAtMeanIntensity 
)

Execute the filter on the input images with the given parameters

template<class TImageType >
Image itk::simple::HistogramMatchingImageFilter::ExecuteInternal ( const Image image1,
const Image image2 
)
private
std::string itk::simple::HistogramMatchingImageFilter::GetName ( ) const
inlinevirtual

Name of this class

Implements itk::simple::ProcessObject.

Definition at line 104 of file sitkHistogramMatchingImageFilter.h.

uint32_t itk::simple::HistogramMatchingImageFilter::GetNumberOfHistogramLevels ( ) const
inline

Set/Get the number of histogram levels used.

Definition at line 78 of file sitkHistogramMatchingImageFilter.h.

uint32_t itk::simple::HistogramMatchingImageFilter::GetNumberOfMatchPoints ( ) const
inline

Set/Get the number of match points used.

Definition at line 88 of file sitkHistogramMatchingImageFilter.h.

bool itk::simple::HistogramMatchingImageFilter::GetThresholdAtMeanIntensity ( ) const
inline

Set/Get the threshold at mean intensity flag. If true, only source (reference) pixels which are greater than the mean source (reference) intensity is used in the histogram matching. If false, all pixels are used.

Definition at line 102 of file sitkHistogramMatchingImageFilter.h.

Self& itk::simple::HistogramMatchingImageFilter::SetNumberOfHistogramLevels ( uint32_t  NumberOfHistogramLevels)
inline

Set/Get the number of histogram levels used.

Examples:
DemonsRegistration1/DemonsRegistration1.cxx, and DemonsRegistration2/DemonsRegistration2.cxx.

Definition at line 73 of file sitkHistogramMatchingImageFilter.h.

Self& itk::simple::HistogramMatchingImageFilter::SetNumberOfMatchPoints ( uint32_t  NumberOfMatchPoints)
inline

Set/Get the number of match points used.

Examples:
DemonsRegistration1/DemonsRegistration1.cxx, and DemonsRegistration2/DemonsRegistration2.cxx.

Definition at line 83 of file sitkHistogramMatchingImageFilter.h.

Self& itk::simple::HistogramMatchingImageFilter::SetThresholdAtMeanIntensity ( bool  ThresholdAtMeanIntensity)
inline

Set/Get the threshold at mean intensity flag. If true, only source (reference) pixels which are greater than the mean source (reference) intensity is used in the histogram matching. If false, all pixels are used.

Definition at line 93 of file sitkHistogramMatchingImageFilter.h.

Self& itk::simple::HistogramMatchingImageFilter::ThresholdAtMeanIntensityOff ( )
inline

Definition at line 97 of file sitkHistogramMatchingImageFilter.h.

Self& itk::simple::HistogramMatchingImageFilter::ThresholdAtMeanIntensityOn ( )
inline

Set the value of ThresholdAtMeanIntensity to true or false respectfully.

Examples:
DemonsRegistration1/DemonsRegistration1.cxx, and DemonsRegistration2/DemonsRegistration2.cxx.

Definition at line 96 of file sitkHistogramMatchingImageFilter.h.

std::string itk::simple::HistogramMatchingImageFilter::ToString ( ) const
virtual

Print ourselves out

Reimplemented from itk::simple::ProcessObject.

Friends And Related Function Documentation

Definition at line 127 of file sitkHistogramMatchingImageFilter.h.

Member Data Documentation

nsstd::auto_ptr<detail::MemberFunctionFactory<MemberFunctionType> > itk::simple::HistogramMatchingImageFilter::m_MemberFactory
private

Definition at line 129 of file sitkHistogramMatchingImageFilter.h.

uint32_t itk::simple::HistogramMatchingImageFilter::m_NumberOfHistogramLevels
private

Definition at line 132 of file sitkHistogramMatchingImageFilter.h.

uint32_t itk::simple::HistogramMatchingImageFilter::m_NumberOfMatchPoints
private

Definition at line 133 of file sitkHistogramMatchingImageFilter.h.

bool itk::simple::HistogramMatchingImageFilter::m_ThresholdAtMeanIntensity
private

Definition at line 134 of file sitkHistogramMatchingImageFilter.h.


The documentation for this class was generated from the following file: