#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.

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


	itkSetInputMacro (SourceImage, InputImageType)

	itkGetInputMacro (SourceImage, InputImageType)


	itkSetInputMacro (ReferenceImage, InputImageType)

	itkGetInputMacro (ReferenceImage, InputImageType)


	itkSetInputMacro (ReferenceHistogram, HistogramType)

	itkGetInputMacro (ReferenceHistogram, HistogramType)


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 HistogramType *	GetModifiableSourceHistogram ()

virtual HistogramType *	GetModifiableOutputHistogram ()

Public Member Functions inherited from itk::ImageToImageFilter< TInputImage, TOutputImage >
const InputImageType *	GetInput () const

const InputImageType *	GetInput (unsigned int idx) const

const char *	GetNameOfClass () const override

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 >
const char *	GetNameOfClass () const override

OutputImageType *	GetOutput (unsigned int idx)

OutputImageType *	GetOutput ()

const OutputImageType *	GetOutput () 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 ()

MultiThreaderType *	GetMultiThreader () const

const char *	GetNameOfClass () const override

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 DataObjectPointer	MakeOutput (const DataObjectIdentifierType &)

virtual DataObjectPointer	MakeOutput (DataObjectPointerArraySizeType idx)

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 ThreadIdType &	GetNumberOfWorkUnits () 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

Command *	GetCommand (unsigned long tag)

bool	GetDebug () const

MetaDataDictionary &	GetMetaDataDictionary ()

const MetaDataDictionary &	GetMetaDataDictionary () const

virtual ModifiedTimeType	GetMTime () const

const char *	GetNameOfClass () const override

virtual const TimeStamp &	GetTimeStamp () 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 Pointer	CreateAnother () const

virtual void	Delete ()

virtual const char *	GetNameOfClass () const

virtual int	GetReferenceCount () const

void	Print (std::ostream &os, Indent indent=0) const

virtual void	Register () const

virtual void	SetReferenceCount (int)

virtual void	UnRegister () const noexcept

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)

void	GenerateInputRequestedRegion () override

	ImageToImageFilter ()

void	PrintSelf (std::ostream &os, Indent indent) const override

void	VerifyInputInformation () const override

	~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	AfterThreadedGenerateData ()

virtual void	AllocateOutputs ()

virtual void	BeforeThreadedGenerateData ()

void	ClassicMultiThread (ThreadFunctionType callbackFunction)

void	GenerateData () override

virtual const ImageRegionSplitterBase *	GetImageRegionSplitter () const

	ImageSource ()

void	PrintSelf (std::ostream &os, Indent indent) const override

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	GenerateData ()

virtual void	GenerateInputRequestedRegion ()

virtual void	GenerateOutputInformation ()

virtual void	GenerateOutputRequestedRegion (DataObject *output)

DataObject *	GetInput (const DataObjectIdentifierType &key)

const DataObject *	GetInput (const DataObjectIdentifierType &key) const

virtual const DataObjectPointerArraySizeType &	GetNumberOfRequiredInputs () const

virtual const DataObjectPointerArraySizeType &	GetNumberOfRequiredOutputs () 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

virtual void	PopBackInput ()

virtual void	PopFrontInput ()

void	PrintSelf (std::ostream &os, Indent indent) const override

	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 &)

virtual void	VerifyInputInformation () const

virtual void	VerifyPreconditions () const

	~ProcessObject () override

DataObject *	GetInput (DataObjectPointerArraySizeType idx)

const DataObject *	GetInput (DataObjectPointerArraySizeType idx) const

DataObject *	GetPrimaryInput ()

const DataObject *	GetPrimaryInput () const

virtual void	SetPrimaryInputName (const DataObjectIdentifierType &key)

virtual const char *	GetPrimaryInputName () const

DataObject *	GetOutput (const DataObjectIdentifierType &key)

const DataObject *	GetOutput (const DataObjectIdentifierType &key) const

virtual void	SetPrimaryOutputName (const DataObjectIdentifierType &key)

virtual const char *	GetPrimaryOutputName () const

DataObject *	GetOutput (DataObjectPointerArraySizeType i)

const DataObject *	GetOutput (DataObjectPointerArraySizeType i) const

DataObject *	GetPrimaryOutput ()

const DataObject *	GetPrimaryOutput () 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

void	PrintSelf (std::ostream &os, Indent indent) const override

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	PrintSelf (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 ImageRegionSplitterBase *	GetGlobalDefaultSplitter ()

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

See also: LightObject::GetNameOfClass()

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

◆ 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.

◆ 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.

◆ itkGetInputMacro() [1/3]

template<typename TInputImage , typename TOutputImage , typename THistogramMeasurement = typename TInputImage::PixelType>

itk::HistogramMatchingImageFilter< TInputImage, TOutputImage, THistogramMeasurement >::itkGetInputMacro	(	ReferenceHistogram	,
		HistogramType
	)

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.)

◆ itkGetInputMacro() [2/3]

template<typename TInputImage , typename TOutputImage , typename THistogramMeasurement = typename TInputImage::PixelType>

itk::HistogramMatchingImageFilter< TInputImage, TOutputImage, THistogramMeasurement >::itkGetInputMacro	(	ReferenceImage	,
		InputImageType
	)

Set/Get the reference image.

◆ itkGetInputMacro() [3/3]

template<typename TInputImage , typename TOutputImage , typename THistogramMeasurement = typename TInputImage::PixelType>

itk::HistogramMatchingImageFilter< TInputImage, TOutputImage, THistogramMeasurement >::itkGetInputMacro	(	SourceImage	,
		InputImageType
	)

Set and Get the source image

◆ itkSetInputMacro() [1/3]

template<typename TInputImage , typename TOutputImage , typename THistogramMeasurement = typename TInputImage::PixelType>

itk::HistogramMatchingImageFilter< TInputImage, TOutputImage, THistogramMeasurement >::itkSetInputMacro	(	ReferenceHistogram	,
		HistogramType
	)

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.)

◆ itkSetInputMacro() [2/3]

template<typename TInputImage , typename TOutputImage , typename THistogramMeasurement = typename TInputImage::PixelType>

itk::HistogramMatchingImageFilter< TInputImage, TOutputImage, THistogramMeasurement >::itkSetInputMacro	(	ReferenceImage	,
		InputImageType
	)

Set/Get the reference image.

◆ itkSetInputMacro() [3/3]

template<typename TInputImage , typename TOutputImage , typename THistogramMeasurement = typename TInputImage::PixelType>

itk::HistogramMatchingImageFilter< TInputImage, TOutputImage, THistogramMeasurement >::itkSetInputMacro	(	SourceImage	,
		InputImageType
	)

Set and Get the source image

◆ 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.

◆ 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:

itkHistogramMatchingImageFilter.h

Detailed Description

Public Types

Public Member Functions

Static Public Member Functions

Static Public Attributes

Protected Member Functions

Private Types

Private Attributes

Additional Inherited Members

Member Typedef Documentation

◆ ConstPointer

◆ GradientArrayType

◆ HistogramPointer

◆ HistogramType

◆ InputPixelType

◆ OutputImageRegionType

◆ OutputPixelType

◆ Pointer

◆ Self

◆ Superclass

◆ TableType

Constructor & Destructor Documentation

◆ HistogramMatchingImageFilter()

◆ ~HistogramMatchingImageFilter()

Member Function Documentation

◆ AfterThreadedGenerateData()

◆ BeforeThreadedGenerateData()

◆ ComputeMinMaxMean()

◆ ConstructHistogramFromIntensityRange()

◆ DynamicThreadedGenerateData()

◆ GenerateInputRequestedRegion()

◆ GenerateReferenceHistogramFromImageOn()

◆ GetGenerateReferenceHistogramFromImage()

◆ GetModifiableOutputHistogram()

◆ GetModifiableSourceHistogram()

◆ GetNameOfClass()

◆ GetNumberOfHistogramLevels()

◆ GetNumberOfMatchPoints()

◆ GetThresholdAtMeanIntensity()

◆ itkGetInputMacro() [1/3]

◆ itkGetInputMacro() [2/3]

◆ itkGetInputMacro() [3/3]

◆ itkSetInputMacro() [1/3]

◆ itkSetInputMacro() [2/3]

◆ itkSetInputMacro() [3/3]

◆ New()

◆ PrintSelf()

◆ SetGenerateReferenceHistogramFromImage()

◆ SetNumberOfHistogramLevels()

◆ SetNumberOfMatchPoints()

◆ SetThresholdAtMeanIntensity()

◆ ThresholdAtMeanIntensityOn()

◆ VerifyInputInformation()

◆ VerifyPreconditions()

Member Data Documentation

◆ ImageDimension

◆ m_GenerateReferenceHistogramFromImage

◆ m_Gradients

◆ m_LowerGradient

◆ m_NumberOfHistogramLevels

◆ m_NumberOfMatchPoints

◆ m_OutputHistogram

◆ m_QuantileTable

◆ m_ReferenceMaxValue

◆ m_ReferenceMinValue

◆ m_SourceHistogram

◆ m_SourceMaxValue

◆ m_SourceMinValue

◆ m_ThresholdAtMeanIntensity

◆ m_UpperGradient

◆ OutputImageDimension