ITK  6.0.0
Insight Toolkit
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itk::HistogramMatchingImageFilter< TInputImage, TOutputImage, THistogramMeasurement > Class Template Reference

#include <itkHistogramMatchingImageFilter.h>

Detailed Description

template<typename TInputImage, typename TOutputImage, typename THistogramMeasurement = typename TInputImage::PixelType>
class itk::HistogramMatchingImageFilter< TInputImage, TOutputImage, THistogramMeasurement >

Normalize the grayscale values for a source image by matching the shape of the source image histogram to a reference histogram.

HistogramMatchingImageFilter normalizes the grayscale values of a source image based on the grayscale values of either a reference image or a reference histogram. This filter uses a histogram matching technique where the histograms of the 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. With ThresholdAtMeanIntensityOn(), The reference histogram returned from this filter will expand the first and last bin bounds to include the minimum and maximum intensity values of the entire reference image, but only intensity values greater than the mean will be used to populate the histogram.

The source image can be set via either SetInput() or SetSourceImage(). The reference object used is selected with can be set via SetReferenceImage() or SetReferenceHistogram().

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.
Examples
Examples/RegistrationITKv4/DeformableRegistration1.cxx, Examples/RegistrationITKv4/DeformableRegistration10.cxx, Examples/RegistrationITKv4/DeformableRegistration11.cxx, Examples/RegistrationITKv4/DeformableRegistration16.cxx, Examples/RegistrationITKv4/DeformableRegistration17.cxx, Examples/RegistrationITKv4/DeformableRegistration2.cxx, Examples/RegistrationITKv4/DeformableRegistration3.cxx, Examples/RegistrationITKv4/DeformableRegistration5.cxx, and Examples/RegistrationITKv4/DeformableRegistration9.cxx.

Definition at line 75 of file itkHistogramMatchingImageFilter.h.

+ Inheritance diagram for itk::HistogramMatchingImageFilter< TInputImage, TOutputImage, THistogramMeasurement >:
+ Collaboration diagram for itk::HistogramMatchingImageFilter< TInputImage, TOutputImage, THistogramMeasurement >:

Public Types

using ConstPointer = SmartPointer< const Self >
 
using HistogramPointer = typename HistogramType::Pointer
 
using HistogramType = Statistics::Histogram< THistogramMeasurement >
 
using InputPixelType = typename InputImageType::PixelType
 
using OutputImageRegionType = typename TOutputImage::RegionType
 
using OutputPixelType = typename OutputImageType::PixelType
 
using Pointer = SmartPointer< Self >
 
using Self = HistogramMatchingImageFilter
 
using Superclass = ImageToImageFilter< TInputImage, TOutputImage >
 
- Public Types inherited from itk::ImageToImageFilter< TInputImage, TOutputImage >
using ConstPointer = SmartPointer< const Self >
 
using InputImageConstPointer = typename InputImageType::ConstPointer
 
using InputImagePixelType = typename InputImageType::PixelType
 
using InputImagePointer = typename InputImageType::Pointer
 
using InputImageRegionType = typename InputImageType::RegionType
 
using InputImageType = TInputImage
 
using Pointer = SmartPointer< Self >
 
using Self = ImageToImageFilter
 
using Superclass = ImageSource< TOutputImage >
 
- Public Types inherited from itk::ImageSource< TOutputImage >
using ConstPointer = SmartPointer< const Self >
 
using DataObjectIdentifierType = Superclass::DataObjectIdentifierType
 
using DataObjectPointer = DataObject::Pointer
 
using DataObjectPointerArraySizeType = Superclass::DataObjectPointerArraySizeType
 
using OutputImagePixelType = typename OutputImageType::PixelType
 
using OutputImagePointer = typename OutputImageType::Pointer
 
using OutputImageRegionType = typename OutputImageType::RegionType
 
using OutputImageType = TOutputImage
 
using Pointer = SmartPointer< Self >
 
using Self = ImageSource
 
using Superclass = ProcessObject
 
- Public Types inherited from itk::ProcessObject
using ConstPointer = SmartPointer< const Self >
 
using DataObjectIdentifierType = DataObject::DataObjectIdentifierType
 
using DataObjectPointer = DataObject::Pointer
 
using DataObjectPointerArray = std::vector< DataObjectPointer >
 
using DataObjectPointerArraySizeType = DataObjectPointerArray::size_type
 
using MultiThreaderType = MultiThreaderBase
 
using NameArray = std::vector< DataObjectIdentifierType >
 
using Pointer = SmartPointer< Self >
 
using Self = ProcessObject
 
using Superclass = Object
 
- Public Types inherited from itk::Object
using ConstPointer = SmartPointer< const Self >
 
using Pointer = SmartPointer< Self >
 
using Self = Object
 
using Superclass = LightObject
 
- Public Types inherited from itk::LightObject
using ConstPointer = SmartPointer< const Self >
 
using Pointer = SmartPointer< Self >
 
using Self = LightObject
 

Public Member Functions

void GenerateInputRequestedRegion () override
 
const char * GetNameOfClass () const override
 
virtual void SetSourceImage (const InputImageType *input)
 
virtual const InputImageTypeGetSourceImage () const
 
virtual void SetReferenceImage (const InputImageType *input)
 
virtual const InputImageTypeGetReferenceImage () const
 
virtual void SetReferenceHistogram (const HistogramType *input)
 
virtual const HistogramTypeGetReferenceHistogram () const
 
virtual void SetNumberOfHistogramLevels (SizeValueType _arg)
 
virtual SizeValueType GetNumberOfHistogramLevels () const
 
virtual void SetNumberOfMatchPoints (SizeValueType _arg)
 
virtual SizeValueType GetNumberOfMatchPoints () const
 
virtual void SetThresholdAtMeanIntensity (bool _arg)
 
virtual bool GetThresholdAtMeanIntensity () const
 
virtual void ThresholdAtMeanIntensityOn ()
 
virtual void SetGenerateReferenceHistogramFromImage (bool _arg)
 
virtual bool GetGenerateReferenceHistogramFromImage () const
 
virtual void GenerateReferenceHistogramFromImageOn ()
 
virtual HistogramTypeGetModifiableSourceHistogram ()
 
virtual HistogramTypeGetModifiableOutputHistogram ()
 
- Public Member Functions inherited from itk::ImageToImageFilter< TInputImage, TOutputImage >
const InputImageTypeGetInput () const
 
const InputImageTypeGetInput (unsigned int idx) const
 
void PopBackInput () override
 
void PopFrontInput () override
 
virtual void PushBackInput (const InputImageType *input)
 
virtual void PushFrontInput (const InputImageType *input)
 
virtual void SetInput (const DataObjectIdentifierType &key, DataObject *input)
 
virtual void SetInput (const InputImageType *input)
 
virtual void SetInput (unsigned int, const TInputImage *image)
 
virtual void SetCoordinateTolerance (double _arg)
 
virtual double GetCoordinateTolerance () const
 
virtual void SetDirectionTolerance (double _arg)
 
virtual double GetDirectionTolerance () const
 
- Public Member Functions inherited from itk::ImageSource< TOutputImage >
OutputImageTypeGetOutput (unsigned int idx)
 
OutputImageTypeGetOutput ()
 
const OutputImageTypeGetOutput () const
 
virtual void GraftOutput (DataObject *graft)
 
virtual void GraftOutput (const DataObjectIdentifierType &key, DataObject *graft)
 
virtual void GraftNthOutput (unsigned int idx, DataObject *graft)
 
ProcessObject::DataObjectPointer MakeOutput (ProcessObject::DataObjectPointerArraySizeType idx) override
 
ProcessObject::DataObjectPointer MakeOutput (const ProcessObject::DataObjectIdentifierType &) override
 
- Public Member Functions inherited from itk::ProcessObject
virtual void AbortGenerateDataOn ()
 
virtual void EnlargeOutputRequestedRegion (DataObject *)
 
virtual const bool & GetAbortGenerateData () const
 
DataObjectPointerArray GetIndexedInputs ()
 
DataObjectPointerArray GetIndexedOutputs ()
 
NameArray GetInputNames () const
 
DataObjectPointerArray GetInputs ()
 
MultiThreaderTypeGetMultiThreader () const
 
DataObjectPointerArraySizeType GetNumberOfIndexedInputs () const
 
DataObjectPointerArraySizeType GetNumberOfIndexedOutputs () const
 
DataObjectPointerArraySizeType GetNumberOfInputs () const
 
DataObjectPointerArraySizeType GetNumberOfOutputs () const
 
virtual DataObjectPointerArraySizeType GetNumberOfValidRequiredInputs () const
 
NameArray GetOutputNames () const
 
DataObjectPointerArray GetOutputs ()
 
virtual float GetProgress () const
 
NameArray GetRequiredInputNames () const
 
bool HasInput (const DataObjectIdentifierType &key) const
 
bool HasOutput (const DataObjectIdentifierType &key) const
 
void IncrementProgress (float increment)
 
virtual void PrepareOutputs ()
 
virtual void PropagateRequestedRegion (DataObject *output)
 
virtual void ResetPipeline ()
 
virtual void SetAbortGenerateData (bool _arg)
 
void SetMultiThreader (MultiThreaderType *threader)
 
virtual void Update ()
 
virtual void UpdateLargestPossibleRegion ()
 
virtual void UpdateOutputData (DataObject *output)
 
virtual void UpdateOutputInformation ()
 
void UpdateProgress (float progress)
 
virtual void SetReleaseDataFlag (bool val)
 
virtual bool GetReleaseDataFlag () const
 
void ReleaseDataFlagOn ()
 
void ReleaseDataFlagOff ()
 
virtual void SetReleaseDataBeforeUpdateFlag (bool _arg)
 
virtual const bool & GetReleaseDataBeforeUpdateFlag () const
 
virtual void ReleaseDataBeforeUpdateFlagOn ()
 
virtual void SetNumberOfWorkUnits (ThreadIdType _arg)
 
virtual const ThreadIdTypeGetNumberOfWorkUnits () const
 
- Public Member Functions inherited from itk::Object
unsigned long AddObserver (const EventObject &event, Command *cmd) const
 
unsigned long AddObserver (const EventObject &event, std::function< void(const EventObject &)> function) const
 
LightObject::Pointer CreateAnother () const override
 
virtual void DebugOff () const
 
virtual void DebugOn () const
 
CommandGetCommand (unsigned long tag)
 
bool GetDebug () const
 
MetaDataDictionaryGetMetaDataDictionary ()
 
const MetaDataDictionaryGetMetaDataDictionary () const
 
virtual ModifiedTimeType GetMTime () const
 
virtual const TimeStampGetTimeStamp () const
 
bool HasObserver (const EventObject &event) const
 
void InvokeEvent (const EventObject &)
 
void InvokeEvent (const EventObject &) const
 
virtual void Modified () const
 
void Register () const override
 
void RemoveAllObservers ()
 
void RemoveObserver (unsigned long tag) const
 
void SetDebug (bool debugFlag) const
 
void SetReferenceCount (int) override
 
void UnRegister () const noexcept override
 
void SetMetaDataDictionary (const MetaDataDictionary &rhs)
 
void SetMetaDataDictionary (MetaDataDictionary &&rrhs)
 
virtual void SetObjectName (std::string _arg)
 
virtual const std::string & GetObjectName () const
 
- Public Member Functions inherited from itk::LightObject
Pointer Clone () const
 
virtual void Delete ()
 
virtual int GetReferenceCount () const
 
void Print (std::ostream &os, Indent indent=0) const
 

Static Public Member Functions

static Pointer New ()
 
- Static Public Member Functions inherited from itk::ImageToImageFilter< TInputImage, TOutputImage >
static double GetGlobalDefaultCoordinateTolerance ()
 
static double GetGlobalDefaultDirectionTolerance ()
 
static void SetGlobalDefaultCoordinateTolerance (double)
 
static void SetGlobalDefaultDirectionTolerance (double)
 
- Static Public Member Functions inherited from itk::Object
static bool GetGlobalWarningDisplay ()
 
static void GlobalWarningDisplayOff ()
 
static void GlobalWarningDisplayOn ()
 
static Pointer New ()
 
static void SetGlobalWarningDisplay (bool val)
 
- Static Public Member Functions inherited from itk::LightObject
static void BreakOnError ()
 
static Pointer New ()
 

Static Public Attributes

static constexpr unsigned int ImageDimension = TInputImage::ImageDimension
 
static constexpr unsigned int OutputImageDimension = TOutputImage::ImageDimension
 
- Static Public Attributes inherited from itk::ImageToImageFilter< TInputImage, TOutputImage >
static constexpr unsigned int InputImageDimension = TInputImage::ImageDimension
 
static constexpr unsigned int OutputImageDimension = TOutputImage::ImageDimension
 
- Static Public Attributes inherited from itk::ImageSource< TOutputImage >
static constexpr unsigned int OutputImageDimension = TOutputImage::ImageDimension
 

Protected Member Functions

void AfterThreadedGenerateData () override
 
void BeforeThreadedGenerateData () override
 
void ComputeMinMaxMean (const InputImageType *image, THistogramMeasurement &minValue, THistogramMeasurement &maxValue, THistogramMeasurement &meanValue)
 
void ConstructHistogramFromIntensityRange (const InputImageType *image, HistogramType *histogram, const THistogramMeasurement minHistogramValidValue, const THistogramMeasurement maxHistogramValidValue, const THistogramMeasurement imageTrueMinValue, const THistogramMeasurement imageTrueMaxValue)
 
void DynamicThreadedGenerateData (const OutputImageRegionType &outputRegionForThread) override
 
 HistogramMatchingImageFilter ()
 
void PrintSelf (std::ostream &os, Indent indent) const override
 
void VerifyInputInformation () const override
 
void VerifyPreconditions () const override
 
 ~HistogramMatchingImageFilter () override=default
 
- Protected Member Functions inherited from itk::ImageToImageFilter< TInputImage, TOutputImage >
virtual void CallCopyInputRegionToOutputRegion (OutputImageRegionType &destRegion, const InputImageRegionType &srcRegion)
 
virtual void CallCopyOutputRegionToInputRegion (InputImageRegionType &destRegion, const OutputImageRegionType &srcRegion)
 
 ImageToImageFilter ()
 
 ~ImageToImageFilter () override=default
 
virtual void PushBackInput (const DataObject *input)
 
virtual void PushFrontInput (const DataObject *input)
 
- Protected Member Functions inherited from itk::ImageSource< TOutputImage >
virtual void AllocateOutputs ()
 
void ClassicMultiThread (ThreadFunctionType callbackFunction)
 
void GenerateData () override
 
virtual const ImageRegionSplitterBaseGetImageRegionSplitter () const
 
 ImageSource ()
 
virtual unsigned int SplitRequestedRegion (unsigned int i, unsigned int pieces, OutputImageRegionType &splitRegion)
 
 ~ImageSource () override=default
 
virtual void ThreadedGenerateData (const OutputImageRegionType &region, ThreadIdType threadId)
 
virtual bool GetDynamicMultiThreading () const
 
virtual void SetDynamicMultiThreading (bool _arg)
 
virtual void DynamicMultiThreadingOn ()
 
- Protected Member Functions inherited from itk::ProcessObject
virtual void AddInput (DataObject *input)
 
void AddOptionalInputName (const DataObjectIdentifierType &)
 
void AddOptionalInputName (const DataObjectIdentifierType &, DataObjectPointerArraySizeType idx)
 
virtual void AddOutput (DataObject *output)
 
bool AddRequiredInputName (const DataObjectIdentifierType &)
 
bool AddRequiredInputName (const DataObjectIdentifierType &, DataObjectPointerArraySizeType idx)
 
virtual void CacheInputReleaseDataFlags ()
 
virtual void GenerateOutputInformation ()
 
virtual void GenerateOutputRequestedRegion (DataObject *output)
 
DataObjectGetInput (const DataObjectIdentifierType &key)
 
const DataObjectGetInput (const DataObjectIdentifierType &key) const
 
virtual const DataObjectPointerArraySizeTypeGetNumberOfRequiredInputs () const
 
virtual const DataObjectPointerArraySizeTypeGetNumberOfRequiredOutputs () const
 
bool IsIndexedInputName (const DataObjectIdentifierType &) const
 
bool IsIndexedOutputName (const DataObjectIdentifierType &) const
 
bool IsRequiredInputName (const DataObjectIdentifierType &) const
 
DataObjectPointerArraySizeType MakeIndexFromInputName (const DataObjectIdentifierType &name) const
 
DataObjectPointerArraySizeType MakeIndexFromOutputName (const DataObjectIdentifierType &name) const
 
DataObjectIdentifierType MakeNameFromInputIndex (DataObjectPointerArraySizeType idx) const
 
DataObjectIdentifierType MakeNameFromOutputIndex (DataObjectPointerArraySizeType idx) const
 
 ProcessObject ()
 
virtual void PropagateResetPipeline ()
 
virtual void PushBackInput (const DataObject *input)
 
virtual void PushFrontInput (const DataObject *input)
 
virtual void ReleaseInputs ()
 
virtual void RemoveInput (const DataObjectIdentifierType &key)
 
virtual void RemoveInput (DataObjectPointerArraySizeType)
 
virtual void RemoveOutput (const DataObjectIdentifierType &key)
 
virtual void RemoveOutput (DataObjectPointerArraySizeType idx)
 
bool RemoveRequiredInputName (const DataObjectIdentifierType &)
 
virtual void RestoreInputReleaseDataFlags ()
 
virtual void SetInput (const DataObjectIdentifierType &key, DataObject *input)
 
virtual void SetNthInput (DataObjectPointerArraySizeType idx, DataObject *input)
 
virtual void SetNthOutput (DataObjectPointerArraySizeType idx, DataObject *output)
 
void SetNumberOfIndexedInputs (DataObjectPointerArraySizeType num)
 
void SetNumberOfIndexedOutputs (DataObjectPointerArraySizeType num)
 
virtual void SetNumberOfRequiredInputs (DataObjectPointerArraySizeType)
 
virtual void SetNumberOfRequiredOutputs (DataObjectPointerArraySizeType _arg)
 
virtual void SetOutput (const DataObjectIdentifierType &name, DataObject *output)
 
virtual void SetPrimaryInput (DataObject *object)
 
virtual void SetPrimaryOutput (DataObject *object)
 
void SetRequiredInputNames (const NameArray &)
 
 ~ProcessObject () override
 
DataObjectGetInput (DataObjectPointerArraySizeType idx)
 
const DataObjectGetInput (DataObjectPointerArraySizeType idx) const
 
DataObjectGetPrimaryInput ()
 
const DataObjectGetPrimaryInput () const
 
virtual void SetPrimaryInputName (const DataObjectIdentifierType &key)
 
virtual const char * GetPrimaryInputName () const
 
DataObjectGetOutput (const DataObjectIdentifierType &key)
 
const DataObjectGetOutput (const DataObjectIdentifierType &key) const
 
virtual void SetPrimaryOutputName (const DataObjectIdentifierType &key)
 
virtual const char * GetPrimaryOutputName () const
 
DataObjectGetOutput (DataObjectPointerArraySizeType i)
 
const DataObjectGetOutput (DataObjectPointerArraySizeType i) const
 
DataObjectGetPrimaryOutput ()
 
const DataObjectGetPrimaryOutput () const
 
virtual bool GetThreaderUpdateProgress () const
 
virtual void ThreaderUpdateProgressOn ()
 
virtual void SetThreaderUpdateProgress (bool arg)
 
- Protected Member Functions inherited from itk::Object
 Object ()
 
bool PrintObservers (std::ostream &os, Indent indent) const
 
virtual void SetTimeStamp (const TimeStamp &timeStamp)
 
 ~Object () override
 
- Protected Member Functions inherited from itk::LightObject
virtual LightObject::Pointer InternalClone () const
 
 LightObject ()
 
virtual void PrintHeader (std::ostream &os, Indent indent) const
 
virtual void PrintTrailer (std::ostream &os, Indent indent) const
 
virtual ~LightObject ()
 

Private Types

using GradientArrayType = vnl_vector< double >
 
using TableType = vnl_matrix< double >
 

Private Attributes

bool m_GenerateReferenceHistogramFromImage { true }
 
GradientArrayType m_Gradients {}
 
double m_LowerGradient { 0.0 }
 
SizeValueType m_NumberOfHistogramLevels { 256 }
 
SizeValueType m_NumberOfMatchPoints { 1 }
 
HistogramPointer m_OutputHistogram {}
 
TableType m_QuantileTable {}
 
THistogramMeasurement m_ReferenceMaxValue {}
 
THistogramMeasurement m_ReferenceMinValue {}
 
HistogramPointer m_SourceHistogram {}
 
THistogramMeasurement m_SourceMaxValue {}
 
THistogramMeasurement m_SourceMinValue {}
 
bool m_ThresholdAtMeanIntensity { true }
 
double m_UpperGradient { 0.0 }
 

Additional Inherited Members

- Protected Types inherited from itk::ImageToImageFilter< TInputImage, TOutputImage >
using InputToOutputRegionCopierType = ImageToImageFilterDetail::ImageRegionCopier< Self::OutputImageDimension, Self::InputImageDimension >
 
using OutputToInputRegionCopierType = ImageToImageFilterDetail::ImageRegionCopier< Self::InputImageDimension, Self::OutputImageDimension >
 
- Static Protected Member Functions inherited from itk::ImageSource< TOutputImage >
static const ImageRegionSplitterBaseGetGlobalDefaultSplitter ()
 
static ITK_THREAD_RETURN_FUNCTION_CALL_CONVENTION ThreaderCallback (void *arg)
 
- Static Protected Member Functions inherited from itk::ProcessObject
template<typename TSourceObject >
static void MakeRequiredOutputs (TSourceObject &sourceObject, const DataObjectPointerArraySizeType numberOfRequiredOutputs)
 
static constexpr float progressFixedToFloat (uint32_t fixed)
 
static uint32_t progressFloatToFixed (float f)
 
- Protected Attributes inherited from itk::ImageSource< TOutputImage >
bool m_DynamicMultiThreading { true }
 
- Protected Attributes inherited from itk::ProcessObject
TimeStamp m_OutputInformationMTime {}
 
bool m_Updating {}
 
- Protected Attributes inherited from itk::LightObject
std::atomic< int > m_ReferenceCount {}
 

Member Typedef Documentation

◆ ConstPointer

template<typename TInputImage , typename TOutputImage , typename THistogramMeasurement = typename TInputImage::PixelType>
using itk::HistogramMatchingImageFilter< TInputImage, TOutputImage, THistogramMeasurement >::ConstPointer = SmartPointer<const Self>

Definition at line 84 of file itkHistogramMatchingImageFilter.h.

◆ GradientArrayType

template<typename TInputImage , typename TOutputImage , typename THistogramMeasurement = typename TInputImage::PixelType>
using itk::HistogramMatchingImageFilter< TInputImage, TOutputImage, THistogramMeasurement >::GradientArrayType = vnl_vector<double>
private

Definition at line 257 of file itkHistogramMatchingImageFilter.h.

◆ HistogramPointer

template<typename TInputImage , typename TOutputImage , typename THistogramMeasurement = typename TInputImage::PixelType>
using itk::HistogramMatchingImageFilter< TInputImage, TOutputImage, THistogramMeasurement >::HistogramPointer = typename HistogramType::Pointer

Definition at line 112 of file itkHistogramMatchingImageFilter.h.

◆ HistogramType

template<typename TInputImage , typename TOutputImage , typename THistogramMeasurement = typename TInputImage::PixelType>
using itk::HistogramMatchingImageFilter< TInputImage, TOutputImage, THistogramMeasurement >::HistogramType = Statistics::Histogram<THistogramMeasurement>

Histogram related type alias.

Definition at line 111 of file itkHistogramMatchingImageFilter.h.

◆ InputPixelType

template<typename TInputImage , typename TOutputImage , typename THistogramMeasurement = typename TInputImage::PixelType>
using itk::HistogramMatchingImageFilter< TInputImage, TOutputImage, THistogramMeasurement >::InputPixelType = typename InputImageType::PixelType

Pixel related type alias.

Definition at line 107 of file itkHistogramMatchingImageFilter.h.

◆ OutputImageRegionType

template<typename TInputImage , typename TOutputImage , typename THistogramMeasurement = typename TInputImage::PixelType>
using itk::HistogramMatchingImageFilter< TInputImage, TOutputImage, THistogramMeasurement >::OutputImageRegionType = typename TOutputImage::RegionType

Typedef to describe the output image region type.

Definition at line 97 of file itkHistogramMatchingImageFilter.h.

◆ OutputPixelType

template<typename TInputImage , typename TOutputImage , typename THistogramMeasurement = typename TInputImage::PixelType>
using itk::HistogramMatchingImageFilter< TInputImage, TOutputImage, THistogramMeasurement >::OutputPixelType = typename OutputImageType::PixelType

Definition at line 108 of file itkHistogramMatchingImageFilter.h.

◆ Pointer

template<typename TInputImage , typename TOutputImage , typename THistogramMeasurement = typename TInputImage::PixelType>
using itk::HistogramMatchingImageFilter< TInputImage, TOutputImage, THistogramMeasurement >::Pointer = SmartPointer<Self>

Definition at line 83 of file itkHistogramMatchingImageFilter.h.

◆ Self

template<typename TInputImage , typename TOutputImage , typename THistogramMeasurement = typename TInputImage::PixelType>
using itk::HistogramMatchingImageFilter< TInputImage, TOutputImage, THistogramMeasurement >::Self = HistogramMatchingImageFilter

Standard class type aliases.

Definition at line 81 of file itkHistogramMatchingImageFilter.h.

◆ Superclass

template<typename TInputImage , typename TOutputImage , typename THistogramMeasurement = typename TInputImage::PixelType>
using itk::HistogramMatchingImageFilter< TInputImage, TOutputImage, THistogramMeasurement >::Superclass = ImageToImageFilter<TInputImage, TOutputImage>

Definition at line 82 of file itkHistogramMatchingImageFilter.h.

◆ TableType

template<typename TInputImage , typename TOutputImage , typename THistogramMeasurement = typename TInputImage::PixelType>
using itk::HistogramMatchingImageFilter< TInputImage, TOutputImage, THistogramMeasurement >::TableType = vnl_matrix<double>
private

Definition at line 254 of file itkHistogramMatchingImageFilter.h.

Constructor & Destructor Documentation

◆ HistogramMatchingImageFilter()

template<typename TInputImage , typename TOutputImage , typename THistogramMeasurement = typename TInputImage::PixelType>
itk::HistogramMatchingImageFilter< TInputImage, TOutputImage, THistogramMeasurement >::HistogramMatchingImageFilter ( )
protected

◆ ~HistogramMatchingImageFilter()

template<typename TInputImage , typename TOutputImage , typename THistogramMeasurement = typename TInputImage::PixelType>
itk::HistogramMatchingImageFilter< TInputImage, TOutputImage, THistogramMeasurement >::~HistogramMatchingImageFilter ( )
overrideprotecteddefault

Member Function Documentation

◆ AfterThreadedGenerateData()

template<typename TInputImage , typename TOutputImage , typename THistogramMeasurement = typename TInputImage::PixelType>
void itk::HistogramMatchingImageFilter< TInputImage, TOutputImage, THistogramMeasurement >::AfterThreadedGenerateData ( )
overrideprotectedvirtual

If an imaging filter needs to perform processing after all processing threads have completed, the filter can can provide an implementation for AfterThreadedGenerateData(). The execution flow in the default GenerateData() method will be: 1) Allocate the output buffer 2) Call BeforeThreadedGenerateData() 3) Spawn threads, calling ThreadedGenerateData() in each thread. 4) Call AfterThreadedGenerateData() Note that this flow of control is only available if a filter provides a ThreadedGenerateData() method and NOT a GenerateData() method.

Reimplemented from itk::ImageSource< TOutputImage >.

◆ BeforeThreadedGenerateData()

template<typename TInputImage , typename TOutputImage , typename THistogramMeasurement = typename TInputImage::PixelType>
void itk::HistogramMatchingImageFilter< TInputImage, TOutputImage, THistogramMeasurement >::BeforeThreadedGenerateData ( )
overrideprotectedvirtual

If an imaging filter needs to perform processing after the buffer has been allocated but before threads are spawned, the filter can can provide an implementation for BeforeThreadedGenerateData(). The execution flow in the default GenerateData() method will be: 1) Allocate the output buffer 2) Call BeforeThreadedGenerateData() 3) Spawn threads, calling ThreadedGenerateData() in each thread. 4) Call AfterThreadedGenerateData() Note that this flow of control is only available if a filter provides a ThreadedGenerateData() method and NOT a GenerateData() method.

Reimplemented from itk::ImageSource< TOutputImage >.

◆ ComputeMinMaxMean()

template<typename TInputImage , typename TOutputImage , typename THistogramMeasurement = typename TInputImage::PixelType>
void itk::HistogramMatchingImageFilter< TInputImage, TOutputImage, THistogramMeasurement >::ComputeMinMaxMean ( const InputImageType image,
THistogramMeasurement &  minValue,
THistogramMeasurement &  maxValue,
THistogramMeasurement &  meanValue 
)
protected

Compute min, max and mean of an image.

◆ ConstructHistogramFromIntensityRange()

template<typename TInputImage , typename TOutputImage , typename THistogramMeasurement = typename TInputImage::PixelType>
void itk::HistogramMatchingImageFilter< TInputImage, TOutputImage, THistogramMeasurement >::ConstructHistogramFromIntensityRange ( const InputImageType image,
HistogramType histogram,
const THistogramMeasurement  minHistogramValidValue,
const THistogramMeasurement  maxHistogramValidValue,
const THistogramMeasurement  imageTrueMinValue,
const THistogramMeasurement  imageTrueMaxValue 
)
protected

Construct a histogram from an image using only values in range of [minValue, maxValue]. Values outside that range are ignored.

◆ DynamicThreadedGenerateData()

template<typename TInputImage , typename TOutputImage , typename THistogramMeasurement = typename TInputImage::PixelType>
void itk::HistogramMatchingImageFilter< TInputImage, TOutputImage, THistogramMeasurement >::DynamicThreadedGenerateData ( const OutputImageRegionType outputRegionForThread)
overrideprotectedvirtual

If an imaging filter can be implemented as a multithreaded algorithm, the filter will provide an implementation of ThreadedGenerateData() or DynamicThreadedGenerateData(). This superclass will automatically split the output image into a number of pieces, spawn multiple threads, and call (Dynamic)ThreadedGenerateData() in each thread. Prior to spawning threads, the BeforeThreadedGenerateData() method is called. After all the threads have completed, the AfterThreadedGenerateData() method is called. If an image processing filter cannot support threading, that filter should provide an implementation of the GenerateData() method instead of providing an implementation of (Dynamic)ThreadedGenerateData(). If a filter provides a GenerateData() method as its implementation, then the filter is responsible for allocating the output data. If a filter provides a (Dynamic)ThreadedGenerateData() method as its implementation, then the output memory will allocated automatically by this superclass. The (Dynamic)ThreadedGenerateData() method should only produce the output specified by "outputThreadRegion" parameter. (Dynamic)ThreadedGenerateData() cannot write to any other portion of the output image (as this is responsibility of a different thread).

DynamicThreadedGenerateData() is the newer variant without threadId, and is the preferred signature, which is called by default. This variant can split the requested region into different number of pieces depending on current multi-processing load, which allows better load balancing. The non-dynamic (also known as classic) ThreadedGenerateData() signature has threadId, and number of pieces to be split into is known in advance. It is activated by calling this->DynamicMultiThreadingOff(); in derived class constructor. It should be used when the multi-threaded algorithm needs to pre-allocate some data structure with size dependent on the number of pieces (also known as chunks, work units, and sometimes also incorrectly as threads). Only PlatformMultiThreader guarantees that each piece will be processed in its own specific thread. Pool and TBB multi-threaders maintain a pool of threads (normally equal to number of processing cores) which they use to process the pieces. This normally results in a single thread being reused to process multiple work units.

See also
GenerateData(), SplitRequestedRegion()

Reimplemented from itk::ImageSource< TOutputImage >.

◆ GenerateInputRequestedRegion()

template<typename TInputImage , typename TOutputImage , typename THistogramMeasurement = typename TInputImage::PixelType>
void itk::HistogramMatchingImageFilter< TInputImage, TOutputImage, THistogramMeasurement >::GenerateInputRequestedRegion ( )
overridevirtual

This filter requires all of the input to be in the buffer.

Reimplemented from itk::ImageToImageFilter< TInputImage, TOutputImage >.

◆ GenerateReferenceHistogramFromImageOn()

template<typename TInputImage , typename TOutputImage , typename THistogramMeasurement = typename TInputImage::PixelType>
virtual void itk::HistogramMatchingImageFilter< TInputImage, TOutputImage, THistogramMeasurement >::GenerateReferenceHistogramFromImageOn ( )
virtual

Set/Get if the reference histogram is regenerated from the supplied ReferenceImage (true) or supplied directly as in input argument (false). If SetReferenceHistogram(myhistogram) is used, then GenerateReferenceHistogramFromImageOff() should almost certainly be used. If both SetReferenceHistogram(myhistogram) and SetReferenceImage(myreferenceimage) are set, only the input object indicated by GenerateReferenceHistogramFromImage choice will be used and the other object will be ignored.

◆ GetGenerateReferenceHistogramFromImage()

template<typename TInputImage , typename TOutputImage , typename THistogramMeasurement = typename TInputImage::PixelType>
virtual bool itk::HistogramMatchingImageFilter< TInputImage, TOutputImage, THistogramMeasurement >::GetGenerateReferenceHistogramFromImage ( ) const
virtual

Set/Get if the reference histogram is regenerated from the supplied ReferenceImage (true) or supplied directly as in input argument (false). If SetReferenceHistogram(myhistogram) is used, then GenerateReferenceHistogramFromImageOff() should almost certainly be used. If both SetReferenceHistogram(myhistogram) and SetReferenceImage(myreferenceimage) are set, only the input object indicated by GenerateReferenceHistogramFromImage choice will be used and the other object will be ignored.

◆ GetModifiableOutputHistogram()

template<typename TInputImage , typename TOutputImage , typename THistogramMeasurement = typename TInputImage::PixelType>
virtual HistogramType* itk::HistogramMatchingImageFilter< TInputImage, TOutputImage, THistogramMeasurement >::GetModifiableOutputHistogram ( )
virtual

Methods to get the histograms of the source, reference, and output. Objects are only valid after Update() has been called on this filter.

◆ GetModifiableSourceHistogram()

template<typename TInputImage , typename TOutputImage , typename THistogramMeasurement = typename TInputImage::PixelType>
virtual HistogramType* itk::HistogramMatchingImageFilter< TInputImage, TOutputImage, THistogramMeasurement >::GetModifiableSourceHistogram ( )
virtual

Methods to get the histograms of the source, reference, and output. Objects are only valid after Update() has been called on this filter.

◆ GetNameOfClass()

template<typename TInputImage , typename TOutputImage , typename THistogramMeasurement = typename TInputImage::PixelType>
const char* itk::HistogramMatchingImageFilter< TInputImage, TOutputImage, THistogramMeasurement >::GetNameOfClass ( ) const
overridevirtual

◆ GetNumberOfHistogramLevels()

template<typename TInputImage , typename TOutputImage , typename THistogramMeasurement = typename TInputImage::PixelType>
virtual SizeValueType itk::HistogramMatchingImageFilter< TInputImage, TOutputImage, THistogramMeasurement >::GetNumberOfHistogramLevels ( ) const
virtual

Set/Get the number of histogram levels used.

◆ GetNumberOfMatchPoints()

template<typename TInputImage , typename TOutputImage , typename THistogramMeasurement = typename TInputImage::PixelType>
virtual SizeValueType itk::HistogramMatchingImageFilter< TInputImage, TOutputImage, THistogramMeasurement >::GetNumberOfMatchPoints ( ) const
virtual

Set/Get the number of match points used.

◆ GetReferenceHistogram()

template<typename TInputImage , typename TOutputImage , typename THistogramMeasurement = typename TInputImage::PixelType>
virtual const HistogramType* itk::HistogramMatchingImageFilter< TInputImage, TOutputImage, THistogramMeasurement >::GetReferenceHistogram ( ) const
virtual

Set the reference histogram. The reference histogram must have the first bin minimum be the smallest intensity value for the reference image space and the last bin maximum must contain the largest intensity value for the reference image space. (Note that the ThresholdAtMeanIntensity may restrict the voxels that are used to populate the histogram to a smaller intensity range than is represented by the smallest and largest intensity values.)

◆ GetReferenceImage()

template<typename TInputImage , typename TOutputImage , typename THistogramMeasurement = typename TInputImage::PixelType>
virtual const InputImageType* itk::HistogramMatchingImageFilter< TInputImage, TOutputImage, THistogramMeasurement >::GetReferenceImage ( ) const
virtual

Set/Get the reference image.

◆ GetSourceImage()

template<typename TInputImage , typename TOutputImage , typename THistogramMeasurement = typename TInputImage::PixelType>
virtual const InputImageType* itk::HistogramMatchingImageFilter< TInputImage, TOutputImage, THistogramMeasurement >::GetSourceImage ( ) const
virtual

Set and Get the source image

◆ GetThresholdAtMeanIntensity()

template<typename TInputImage , typename TOutputImage , typename THistogramMeasurement = typename TInputImage::PixelType>
virtual bool itk::HistogramMatchingImageFilter< TInputImage, TOutputImage, THistogramMeasurement >::GetThresholdAtMeanIntensity ( ) const
virtual

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.

◆ New()

template<typename TInputImage , typename TOutputImage , typename THistogramMeasurement = typename TInputImage::PixelType>
static Pointer itk::HistogramMatchingImageFilter< TInputImage, TOutputImage, THistogramMeasurement >::New ( )
static

Method for creation through the object factory.

◆ PrintSelf()

template<typename TInputImage , typename TOutputImage , typename THistogramMeasurement = typename TInputImage::PixelType>
void itk::HistogramMatchingImageFilter< TInputImage, TOutputImage, THistogramMeasurement >::PrintSelf ( std::ostream &  os,
Indent  indent 
) const
overrideprotectedvirtual

Methods invoked by Print() to print information about the object including superclasses. Typically not called by the user (use Print() instead) but used in the hierarchical print process to combine the output of several classes.

Reimplemented from itk::ImageToImageFilter< TInputImage, TOutputImage >.

◆ SetGenerateReferenceHistogramFromImage()

template<typename TInputImage , typename TOutputImage , typename THistogramMeasurement = typename TInputImage::PixelType>
virtual void itk::HistogramMatchingImageFilter< TInputImage, TOutputImage, THistogramMeasurement >::SetGenerateReferenceHistogramFromImage ( bool  _arg)
virtual

Set/Get if the reference histogram is regenerated from the supplied ReferenceImage (true) or supplied directly as in input argument (false). If SetReferenceHistogram(myhistogram) is used, then GenerateReferenceHistogramFromImageOff() should almost certainly be used. If both SetReferenceHistogram(myhistogram) and SetReferenceImage(myreferenceimage) are set, only the input object indicated by GenerateReferenceHistogramFromImage choice will be used and the other object will be ignored.

◆ SetNumberOfHistogramLevels()

template<typename TInputImage , typename TOutputImage , typename THistogramMeasurement = typename TInputImage::PixelType>
virtual void itk::HistogramMatchingImageFilter< TInputImage, TOutputImage, THistogramMeasurement >::SetNumberOfHistogramLevels ( SizeValueType  _arg)
virtual

Set/Get the number of histogram levels used.

◆ SetNumberOfMatchPoints()

template<typename TInputImage , typename TOutputImage , typename THistogramMeasurement = typename TInputImage::PixelType>
virtual void itk::HistogramMatchingImageFilter< TInputImage, TOutputImage, THistogramMeasurement >::SetNumberOfMatchPoints ( SizeValueType  _arg)
virtual

Set/Get the number of match points used.

◆ SetReferenceHistogram()

template<typename TInputImage , typename TOutputImage , typename THistogramMeasurement = typename TInputImage::PixelType>
virtual void itk::HistogramMatchingImageFilter< TInputImage, TOutputImage, THistogramMeasurement >::SetReferenceHistogram ( const HistogramType input)
virtual

Set the reference histogram. The reference histogram must have the first bin minimum be the smallest intensity value for the reference image space and the last bin maximum must contain the largest intensity value for the reference image space. (Note that the ThresholdAtMeanIntensity may restrict the voxels that are used to populate the histogram to a smaller intensity range than is represented by the smallest and largest intensity values.)

◆ SetReferenceImage()

template<typename TInputImage , typename TOutputImage , typename THistogramMeasurement = typename TInputImage::PixelType>
virtual void itk::HistogramMatchingImageFilter< TInputImage, TOutputImage, THistogramMeasurement >::SetReferenceImage ( const InputImageType input)
virtual

Set/Get the reference image.

◆ SetSourceImage()

template<typename TInputImage , typename TOutputImage , typename THistogramMeasurement = typename TInputImage::PixelType>
virtual void itk::HistogramMatchingImageFilter< TInputImage, TOutputImage, THistogramMeasurement >::SetSourceImage ( const InputImageType input)
virtual

Set and Get the source image

◆ SetThresholdAtMeanIntensity()

template<typename TInputImage , typename TOutputImage , typename THistogramMeasurement = typename TInputImage::PixelType>
virtual void itk::HistogramMatchingImageFilter< TInputImage, TOutputImage, THistogramMeasurement >::SetThresholdAtMeanIntensity ( bool  _arg)
virtual

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.

◆ ThresholdAtMeanIntensityOn()

template<typename TInputImage , typename TOutputImage , typename THistogramMeasurement = typename TInputImage::PixelType>
virtual void itk::HistogramMatchingImageFilter< TInputImage, TOutputImage, THistogramMeasurement >::ThresholdAtMeanIntensityOn ( )
virtual

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.

◆ VerifyInputInformation()

template<typename TInputImage , typename TOutputImage , typename THistogramMeasurement = typename TInputImage::PixelType>
void itk::HistogramMatchingImageFilter< TInputImage, TOutputImage, THistogramMeasurement >::VerifyInputInformation ( ) const
inlineoverrideprotectedvirtual

Override VerifyInputInformation() since this filter does not expect the input images to occupy the same physical space.

See also
ProcessObject::VerifyInputInformation

Reimplemented from itk::ImageToImageFilter< TInputImage, TOutputImage >.

Definition at line 215 of file itkHistogramMatchingImageFilter.h.

◆ VerifyPreconditions()

template<typename TInputImage , typename TOutputImage , typename THistogramMeasurement = typename TInputImage::PixelType>
void itk::HistogramMatchingImageFilter< TInputImage, TOutputImage, THistogramMeasurement >::VerifyPreconditions ( ) const
overrideprotectedvirtual

Verifies that the process object has been configured correctly, that all required inputs are set, and needed parameters are set appropriately. If not valid an exceptions will be thrown.

This method is called before UpdateOutputInformation() is propagated to the inputs.

The ProcessObject's implementation verifies that the m_NumberOfRequiredInputs are set and not null.

Reimplemented from itk::ProcessObject.

Member Data Documentation

◆ ImageDimension

template<typename TInputImage , typename TOutputImage , typename THistogramMeasurement = typename TInputImage::PixelType>
constexpr unsigned int itk::HistogramMatchingImageFilter< TInputImage, TOutputImage, THistogramMeasurement >::ImageDimension = TInputImage::ImageDimension
staticconstexpr

ImageDimension enumeration.

Definition at line 93 of file itkHistogramMatchingImageFilter.h.

◆ m_GenerateReferenceHistogramFromImage

template<typename TInputImage , typename TOutputImage , typename THistogramMeasurement = typename TInputImage::PixelType>
bool itk::HistogramMatchingImageFilter< TInputImage, TOutputImage, THistogramMeasurement >::m_GenerateReferenceHistogramFromImage { true }
private

Definition at line 261 of file itkHistogramMatchingImageFilter.h.

◆ m_Gradients

template<typename TInputImage , typename TOutputImage , typename THistogramMeasurement = typename TInputImage::PixelType>
GradientArrayType itk::HistogramMatchingImageFilter< TInputImage, TOutputImage, THistogramMeasurement >::m_Gradients {}
private

Definition at line 258 of file itkHistogramMatchingImageFilter.h.

◆ m_LowerGradient

template<typename TInputImage , typename TOutputImage , typename THistogramMeasurement = typename TInputImage::PixelType>
double itk::HistogramMatchingImageFilter< TInputImage, TOutputImage, THistogramMeasurement >::m_LowerGradient { 0.0 }
private

Definition at line 259 of file itkHistogramMatchingImageFilter.h.

◆ m_NumberOfHistogramLevels

template<typename TInputImage , typename TOutputImage , typename THistogramMeasurement = typename TInputImage::PixelType>
SizeValueType itk::HistogramMatchingImageFilter< TInputImage, TOutputImage, THistogramMeasurement >::m_NumberOfHistogramLevels { 256 }
private

Definition at line 241 of file itkHistogramMatchingImageFilter.h.

◆ m_NumberOfMatchPoints

template<typename TInputImage , typename TOutputImage , typename THistogramMeasurement = typename TInputImage::PixelType>
SizeValueType itk::HistogramMatchingImageFilter< TInputImage, TOutputImage, THistogramMeasurement >::m_NumberOfMatchPoints { 1 }
private

Definition at line 242 of file itkHistogramMatchingImageFilter.h.

◆ m_OutputHistogram

template<typename TInputImage , typename TOutputImage , typename THistogramMeasurement = typename TInputImage::PixelType>
HistogramPointer itk::HistogramMatchingImageFilter< TInputImage, TOutputImage, THistogramMeasurement >::m_OutputHistogram {}
private

Definition at line 252 of file itkHistogramMatchingImageFilter.h.

◆ m_QuantileTable

template<typename TInputImage , typename TOutputImage , typename THistogramMeasurement = typename TInputImage::PixelType>
TableType itk::HistogramMatchingImageFilter< TInputImage, TOutputImage, THistogramMeasurement >::m_QuantileTable {}
private

Definition at line 255 of file itkHistogramMatchingImageFilter.h.

◆ m_ReferenceMaxValue

template<typename TInputImage , typename TOutputImage , typename THistogramMeasurement = typename TInputImage::PixelType>
THistogramMeasurement itk::HistogramMatchingImageFilter< TInputImage, TOutputImage, THistogramMeasurement >::m_ReferenceMaxValue {}
private

Definition at line 249 of file itkHistogramMatchingImageFilter.h.

◆ m_ReferenceMinValue

template<typename TInputImage , typename TOutputImage , typename THistogramMeasurement = typename TInputImage::PixelType>
THistogramMeasurement itk::HistogramMatchingImageFilter< TInputImage, TOutputImage, THistogramMeasurement >::m_ReferenceMinValue {}
private

Definition at line 248 of file itkHistogramMatchingImageFilter.h.

◆ m_SourceHistogram

template<typename TInputImage , typename TOutputImage , typename THistogramMeasurement = typename TInputImage::PixelType>
HistogramPointer itk::HistogramMatchingImageFilter< TInputImage, TOutputImage, THistogramMeasurement >::m_SourceHistogram {}
private

Definition at line 251 of file itkHistogramMatchingImageFilter.h.

◆ m_SourceMaxValue

template<typename TInputImage , typename TOutputImage , typename THistogramMeasurement = typename TInputImage::PixelType>
THistogramMeasurement itk::HistogramMatchingImageFilter< TInputImage, TOutputImage, THistogramMeasurement >::m_SourceMaxValue {}
private

Definition at line 246 of file itkHistogramMatchingImageFilter.h.

◆ m_SourceMinValue

template<typename TInputImage , typename TOutputImage , typename THistogramMeasurement = typename TInputImage::PixelType>
THistogramMeasurement itk::HistogramMatchingImageFilter< TInputImage, TOutputImage, THistogramMeasurement >::m_SourceMinValue {}
private

Definition at line 245 of file itkHistogramMatchingImageFilter.h.

◆ m_ThresholdAtMeanIntensity

template<typename TInputImage , typename TOutputImage , typename THistogramMeasurement = typename TInputImage::PixelType>
bool itk::HistogramMatchingImageFilter< TInputImage, TOutputImage, THistogramMeasurement >::m_ThresholdAtMeanIntensity { true }
private

Definition at line 243 of file itkHistogramMatchingImageFilter.h.

◆ m_UpperGradient

template<typename TInputImage , typename TOutputImage , typename THistogramMeasurement = typename TInputImage::PixelType>
double itk::HistogramMatchingImageFilter< TInputImage, TOutputImage, THistogramMeasurement >::m_UpperGradient { 0.0 }
private

Definition at line 260 of file itkHistogramMatchingImageFilter.h.

◆ OutputImageDimension

template<typename TInputImage , typename TOutputImage , typename THistogramMeasurement = typename TInputImage::PixelType>
constexpr unsigned int itk::HistogramMatchingImageFilter< TInputImage, TOutputImage, THistogramMeasurement >::OutputImageDimension = TOutputImage::ImageDimension
staticconstexpr

Definition at line 94 of file itkHistogramMatchingImageFilter.h.


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