ITK  6.0.0
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itk::HistogramImageToImageMetric< TFixedImage, TMovingImage > Class Template Referenceabstract

#include <itkHistogramImageToImageMetric.h>

Detailed Description

template<typename TFixedImage, typename TMovingImage>
class itk::HistogramImageToImageMetric< TFixedImage, TMovingImage >

Computes similarity between two objects to be registered.

This class is templated over the type of the fixed and moving images to be compared.

The metric computes the similarity measure between pixels in the moving image and pixels in the fixed image using a histogram.

Definition at line 39 of file itkHistogramImageToImageMetric.h.

+ Inheritance diagram for itk::HistogramImageToImageMetric< TFixedImage, TMovingImage >:
+ Collaboration diagram for itk::HistogramImageToImageMetric< TFixedImage, TMovingImage >:

Public Types

using ConstPointer = SmartPointer< const Self >
 
using FixedImageConstPointerType = typename Superclass::FixedImageConstPointer
 
using FixedImagePixelType = typename Superclass::FixedImageType::PixelType
 
using HistogramPointer = typename HistogramType::Pointer
 
using HistogramSizeType = typename HistogramType::SizeType
 
using HistogramType = Statistics::Histogram< double >
 
using MeasurementVectorType = typename HistogramType::MeasurementVectorType
 
using MovingImageConstPointerType = typename Superclass::MovingImageConstPointer
 
using MovingImagePixelType = typename Superclass::MovingImageType::PixelType
 
using Pointer = SmartPointer< Self >
 
using ScalesType = Array< double >
 
using Self = HistogramImageToImageMetric
 
using Superclass = ImageToImageMetric< TFixedImage, TMovingImage >
 
- Public Types inherited from itk::ImageToImageMetric< TFixedImage, TMovingImage >
using ConstPointer = SmartPointer< const Self >
 
using CoordinateRepresentationType = typename Superclass::ParametersValueType
 
using FixedImageConstPointer = typename FixedImageType::ConstPointer
 
using FixedImageIndexContainer = std::vector< FixedImageIndexType >
 
using FixedImageIndexType = typename FixedImageType::IndexType
 
using FixedImageIndexValueType = typename FixedImageIndexType::IndexValueType
 
using FixedImageMaskConstPointer = typename FixedImageMaskType::ConstPointer
 
using FixedImageMaskPointer = typename FixedImageMaskType::Pointer
 
using FixedImageMaskType = SpatialObject< Self::FixedImageDimension >
 
using FixedImagePixelType = typename TFixedImage::PixelType
 
using FixedImagePointType = typename TransformType::InputPointType
 
using FixedImageRegionType = typename FixedImageType::RegionType
 
using FixedImageType = TFixedImage
 
using GradientImageFilterPointer = typename GradientImageFilterType::Pointer
 
using GradientImageFilterType = GradientRecursiveGaussianImageFilter< MovingImageType, GradientImageType >
 
using GradientImagePointer = SmartPointer< GradientImageType >
 
using GradientImageType = Image< GradientPixelType, Self::MovingImageDimension >
 
using GradientPixelType = CovariantVector< RealType, Self::MovingImageDimension >
 
using InputPointType = typename TransformType::InputPointType
 
using InterpolatorPointer = typename InterpolatorType::Pointer
 
using InterpolatorType = InterpolateImageFunction< MovingImageType, CoordinateRepresentationType >
 
using MovingImageConstPointer = typename MovingImageType::ConstPointer
 
using MovingImageIndexType = typename MovingImageType::IndexType
 
using MovingImageMaskConstPointer = typename MovingImageMaskType::ConstPointer
 
using MovingImageMaskPointer = typename MovingImageMaskType::Pointer
 
using MovingImageMaskType = SpatialObject< Self::MovingImageDimension >
 
using MovingImagePixelType = typename TMovingImage::PixelType
 
using MovingImagePointType = typename TransformType::OutputPointType
 
using MovingImageType = TMovingImage
 
using MultiThreaderType = MultiThreaderBase
 
using OutputPointType = typename TransformType::OutputPointType
 
using Pointer = SmartPointer< Self >
 
using RealType = typename NumericTraits< MovingImagePixelType >::RealType
 
using Self = ImageToImageMetric
 
using Superclass = SingleValuedCostFunction
 
using TransformJacobianType = typename TransformType::JacobianType
 
using TransformParametersType = typename TransformType::ParametersType
 
using TransformPointer = typename TransformType::Pointer
 
using TransformType = Transform< CoordinateRepresentationType, Self::MovingImageDimension, Self::FixedImageDimension >
 
- Public Types inherited from itk::SingleValuedCostFunction
using ConstPointer = SmartPointer< const Self >
 
using DerivativeType = Array< ParametersValueType >
 
using MeasureType = double
 
using ParametersType = Superclass::ParametersType
 
using ParametersValueType = Superclass::ParametersValueType
 
using Pointer = SmartPointer< Self >
 
using Self = SingleValuedCostFunction
 
using Superclass = CostFunction
 
- Public Types inherited from itk::CostFunctionTemplate< double >
using ConstPointer = SmartPointer< const Self >
 
using ParametersType = OptimizerParameters< double >
 
using ParametersValueType = double
 
using Pointer = SmartPointer< Self >
 
using Self = CostFunctionTemplate
 
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 GetDerivative (const TransformParametersType &parameters, DerivativeType &derivative) const override
 
virtual double GetDerivativeStepLength () const
 
virtual const ScalesTypeGetDerivativeStepLengthScales () const
 
virtual const HistogramPointerGetHistogram () const
 
virtual const HistogramSizeTypeGetHistogramSize () const
 
const MeasurementVectorTypeGetLowerBound () const
 
const char * GetNameOfClass () const override
 
virtual const FixedImagePixelTypeGetPaddingValue () const
 
const MeasurementVectorTypeGetUpperBound () const
 
MeasureType GetValue (const TransformParametersType &parameters) const override
 
void GetValueAndDerivative (const TransformParametersType &parameters, MeasureType &value, DerivativeType &derivative) const override
 
void Initialize () override
 
virtual void SetDerivativeStepLength (double _arg)
 
virtual void SetDerivativeStepLengthScales (ScalesType _arg)
 
virtual void SetHistogramSize (HistogramSizeType _arg)
 
void SetLowerBound (const MeasurementVectorType &bounds)
 
virtual void SetPaddingValue (FixedImagePixelType _arg)
 
void SetTransform (TransformType *transform) override
 
void SetUpperBound (const MeasurementVectorType &bounds)
 
virtual void SetUpperBoundIncreaseFactor (double _arg)
 
virtual double GetUpperBoundIncreaseFactor () const
 
virtual void SetUsePaddingValue (bool _arg)
 
virtual bool GetUsePaddingValue () const
 
- Public Member Functions inherited from itk::ImageToImageMetric< TFixedImage, TMovingImage >
virtual void ComputeGradient ()
 
virtual const FixedImageRegionTypeGetFixedImageRegion () const
 
virtual const FixedImagePixelTypeGetFixedImageSamplesIntensityThreshold () const
 
virtual GradientImageTypeGetModifiableGradientImage ()
 
virtual InterpolatorTypeGetModifiableInterpolator ()
 
virtual TransformTypeGetModifiableTransform ()
 
const char * GetNameOfClass () const override
 
SizeValueType GetNumberOfMovingImageSamples ()
 
unsigned int GetNumberOfParameters () const override
 
virtual const SizeValueTypeGetNumberOfPixelsCounted () const
 
SizeValueType GetNumberOfSpatialSamples ()
 
virtual const bool & GetUseAllPixels () const
 
virtual const bool & GetUseFixedImageIndexes () const
 
virtual const bool & GetUseFixedImageSamplesIntensityThreshold () const
 
virtual const bool & GetUseSequentialSampling () const
 
virtual void Initialize ()
 
virtual void MultiThreadingInitialize ()
 
void SetFixedImageIndexes (const FixedImageIndexContainer &indexes)
 
virtual void SetFixedImageRegion (const FixedImageRegionType reg)
 
void SetFixedImageSamplesIntensityThreshold (const FixedImagePixelType &thresh)
 
virtual void SetInterpolator (InterpolatorType *_arg)
 
void SetNumberOfSpatialSamples (SizeValueType num)
 
virtual void SetTransform (TransformType *_arg)
 
void SetTransformParameters (const ParametersType &parameters) const
 
void SetUseAllPixels (bool useAllPixels)
 
void SetUseFixedImageIndexes (bool useIndexes)
 
void SetUseFixedImageSamplesIntensityThreshold (bool useThresh)
 
void SetUseSequentialSampling (bool useSequential)
 
void UseAllPixelsOff ()
 
void UseAllPixelsOn ()
 
virtual void SetFixedImage (const FixedImageType *_arg)
 
virtual const FixedImageTypeGetFixedImage () const
 
virtual void SetMovingImage (const MovingImageType *_arg)
 
virtual const MovingImageTypeGetMovingImage () const
 
virtual void SetMovingImageMask (const MovingImageMaskType *_arg)
 
virtual const MovingImageMaskTypeGetMovingImageMask () const
 
virtual void SetFixedImageMask (const FixedImageMaskType *_arg)
 
virtual const FixedImageMaskTypeGetFixedImageMask () const
 
void SetNumberOfWorkUnits (ThreadIdType numberOfThreads)
 
virtual const ThreadIdTypeGetNumberOfWorkUnits () const
 
virtual void SetComputeGradient (bool _arg)
 
virtual const bool & GetComputeGradient () const
 
virtual void ComputeGradientOn ()
 
virtual void SetNumberOfFixedImageSamples (SizeValueType numSamples)
 
virtual const SizeValueTypeGetNumberOfFixedImageSamples () const
 
void ReinitializeSeed ()
 
void ReinitializeSeed (int seed)
 
virtual void SetUseCachingOfBSplineWeights (bool _arg)
 
virtual const bool & GetUseCachingOfBSplineWeights () const
 
virtual void UseCachingOfBSplineWeightsOn ()
 
virtual MultiThreaderTypeGetModifiableThreader ()
 
const TransformPointerGetThreaderTransform ()
 
- Public Member Functions inherited from itk::SingleValuedCostFunction
virtual void GetDerivative (const ParametersType &parameters, DerivativeType &derivative) const =0
 
const char * GetNameOfClass () const override
 
virtual MeasureType GetValue (const ParametersType &parameters) const =0
 
virtual void GetValueAndDerivative (const ParametersType &parameters, MeasureType &value, DerivativeType &derivative) const
 
- Public Member Functions inherited from itk::CostFunctionTemplate< double >
const char * GetNameOfClass () const override
 
virtual unsigned int GetNumberOfParameters () const=0
 
- 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
 
const char * GetNameOfClass () const override
 
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 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
 

Protected Member Functions

void ComputeHistogram (const TransformParametersType &parameters, HistogramType &histogram) const
 
void ComputeHistogram (const TransformParametersType &parameters, unsigned int parameter, double step, HistogramType &histogram) const
 
void CopyHistogram (HistogramType &target, HistogramType &source) const
 
virtual MeasureType EvaluateMeasure (HistogramType &histogram) const =0
 
void PrintSelf (std::ostream &os, Indent indent) const override
 
 HistogramImageToImageMetric ()
 
 ~HistogramImageToImageMetric () override=default
 
- Protected Member Functions inherited from itk::ImageToImageMetric< TFixedImage, TMovingImage >
virtual void ComputeImageDerivatives (const MovingImagePointType &mappedPoint, ImageDerivativesType &gradient, ThreadIdType threadId) const
 
void GetValueAndDerivativeMultiThreadedInitiate () const
 
void GetValueAndDerivativeMultiThreadedPostProcessInitiate () const
 
virtual void GetValueAndDerivativeThread (ThreadIdType threadId) const
 
virtual void GetValueAndDerivativeThreadPostProcess (ThreadIdType, bool) const
 
virtual void GetValueAndDerivativeThreadPreProcess (ThreadIdType, bool) const
 
virtual bool GetValueAndDerivativeThreadProcessSample (ThreadIdType, SizeValueType, const MovingImagePointType &, double, const ImageDerivativesType &) const
 
 ImageToImageMetric ()
 
virtual void PreComputeTransformValues ()
 
void PrintSelf (std::ostream &os, Indent indent) const override
 
virtual void SampleFixedImageIndexes (FixedImageSampleContainer &samples) const
 
virtual void SampleFixedImageRegion (FixedImageSampleContainer &samples) const
 
virtual void SampleFullFixedImageRegion (FixedImageSampleContainer &samples) const
 
virtual void SynchronizeTransforms () const
 
virtual void TransformPoint (unsigned int sampleNumber, MovingImagePointType &mappedPoint, bool &sampleOk, double &movingImageValue, ThreadIdType threadId) const
 
virtual void TransformPointWithDerivatives (unsigned int sampleNumber, MovingImagePointType &mappedPoint, bool &sampleOk, double &movingImageValue, ImageDerivativesType &movingImageGradient, ThreadIdType threadId) const
 
 ~ImageToImageMetric () override=default
 
void GetValueMultiThreadedInitiate () const
 
void GetValueMultiThreadedPostProcessInitiate () const
 
virtual void GetValueThread (ThreadIdType threadId) const
 
virtual void GetValueThreadPreProcess (ThreadIdType, bool) const
 
virtual bool GetValueThreadProcessSample (ThreadIdType, SizeValueType, const MovingImagePointType &, double) const
 
virtual void GetValueThreadPostProcess (ThreadIdType, bool) const
 
- Protected Member Functions inherited from itk::SingleValuedCostFunction
 SingleValuedCostFunction ()=default
 
 ~SingleValuedCostFunction () override
 
- Protected Member Functions inherited from itk::CostFunctionTemplate< double >
 CostFunctionTemplate ()=default
 
void PrintSelf (std::ostream &os, Indent indent) const override
 
 ~CostFunctionTemplate () override=default
 
- 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 ()
 

Protected Attributes

HistogramSizeType m_HistogramSize {}
 
MeasurementVectorType m_LowerBound {}
 
bool m_LowerBoundSetByUser {}
 
MeasurementVectorType m_UpperBound {}
 
double m_UpperBoundIncreaseFactor {}
 
bool m_UpperBoundSetByUser {}
 
- Protected Attributes inherited from itk::ImageToImageMetric< TFixedImage, TMovingImage >
BSplineInterpolatorType::Pointer m_BSplineInterpolator {}
 
BSplineParametersOffsetType m_BSplineParametersOffset {}
 
MovingImagePointArrayType m_BSplinePreTransformPointsArray {}
 
BSplineTransformType::Pointer m_BSplineTransform {}
 
BSplineTransformIndexArrayType m_BSplineTransformIndices {}
 
BSplineTransformIndicesArrayType m_BSplineTransformIndicesArray {}
 
BSplineTransformWeightsType m_BSplineTransformWeights {}
 
BSplineTransformWeightsArrayType m_BSplineTransformWeightsArray {}
 
bool m_ComputeGradient { true }
 
DerivativeFunctionType::Pointer m_DerivativeCalculator {}
 
FixedImageConstPointer m_FixedImage {}
 
FixedImageIndexContainer m_FixedImageIndexes {}
 
FixedImageMaskConstPointer m_FixedImageMask {}
 
FixedImageSampleContainer m_FixedImageSamples {}
 
FixedImagePixelType m_FixedImageSamplesIntensityThreshold {}
 
GradientImagePointer m_GradientImage {}
 
InterpolatorPointer m_Interpolator {}
 
MovingImageConstPointer m_MovingImage {}
 
MovingImageMaskConstPointer m_MovingImageMask {}
 
SizeValueType m_NumberOfFixedImageSamples { 50000 }
 
SizeValueType m_NumberOfParameters { 0 }
 
SizeValueType m_NumberOfPixelsCounted { 0 }
 
ThreadIdType m_NumberOfWorkUnits { 1 }
 
SizeValueType m_NumBSplineWeights { 0 }
 
int m_RandomSeed {}
 
bool m_ReseedIterator { false }
 
std::unique_ptr< BSplineTransformIndexArrayType[]> m_ThreaderBSplineTransformIndices
 
std::unique_ptr< BSplineTransformWeightsType[]> m_ThreaderBSplineTransformWeights
 
std::unique_ptr< TransformPointer[]> m_ThreaderTransform
 
TransformPointer m_Transform {}
 
bool m_UseAllPixels { false }
 
bool m_UseCachingOfBSplineWeights { true }
 
bool m_UseFixedImageIndexes { false }
 
bool m_UseFixedImageSamplesIntensityThreshold { false }
 
bool m_UseSequentialSampling { false }
 
BooleanArrayType m_WithinBSplineSupportRegionArray {}
 
MultiThreaderType::Pointer m_Threader {}
 
std::unique_ptr< ConstantPointerWrapperm_ConstSelfWrapper
 
std::unique_ptr< unsigned int[]> m_ThreaderNumberOfMovingImageSamples
 
bool m_WithinThreadPreProcess { false }
 
bool m_WithinThreadPostProcess { false }
 
- Protected Attributes inherited from itk::LightObject
std::atomic< int > m_ReferenceCount {}
 

Private Attributes

double m_DerivativeStepLength {}
 
ScalesType m_DerivativeStepLengthScales {}
 
HistogramPointer m_Histogram {}
 
FixedImagePixelType m_PaddingValue {}
 
bool m_UsePaddingValue {}
 

Additional Inherited Members

- 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 inherited from itk::ImageToImageMetric< TFixedImage, TMovingImage >
static constexpr unsigned int FixedImageDimension = TFixedImage::ImageDimension
 
static constexpr unsigned int MovingImageDimension = TMovingImage::ImageDimension
 
- Protected Types inherited from itk::ImageToImageMetric< TFixedImage, TMovingImage >
using BooleanArrayType = std::vector< bool >
 
using BSplineInterpolatorType = BSplineInterpolateImageFunction< MovingImageType, CoordinateRepresentationType >
 
using BSplineParametersOffsetType = FixedArray< SizeValueType, FixedImageType::ImageDimension >
 
using BSplineTransformIndexArrayType = typename BSplineTransformType::ParameterIndexArrayType
 
using BSplineTransformIndicesArrayType = Array2D< IndexValueType >
 
using BSplineTransformType = BSplineBaseTransform< CoordinateRepresentationType, FixedImageType::ImageDimension, Self::DeformationSplineOrder >
 
using BSplineTransformWeightsArrayType = Array2D< WeightsValueType >
 
using BSplineTransformWeightsType = typename BSplineTransformType::WeightsType
 
using DerivativeFunctionType = CentralDifferenceImageFunction< MovingImageType, CoordinateRepresentationType >
 
using FixedImageSampleContainer = std::vector< FixedImageSamplePoint >
 
using ImageDerivativesType = CovariantVector< double, Self::MovingImageDimension >
 
using IndexValueType = typename BSplineTransformIndexArrayType::ValueType
 
using MovingImagePointArrayType = std::vector< MovingImagePointType >
 
using WeightsValueType = typename BSplineTransformWeightsType::ValueType
 
- Static Protected Member Functions inherited from itk::ImageToImageMetric< TFixedImage, TMovingImage >
static ITK_THREAD_RETURN_FUNCTION_CALL_CONVENTION GetValueAndDerivativeMultiThreaded (void *workunitInfoAsVoid)
 
static ITK_THREAD_RETURN_FUNCTION_CALL_CONVENTION GetValueAndDerivativeMultiThreadedPostProcess (void *workunitInfoAsVoid)
 
static ITK_THREAD_RETURN_FUNCTION_CALL_CONVENTION GetValueMultiThreaded (void *workunitInfoAsVoid)
 
static ITK_THREAD_RETURN_FUNCTION_CALL_CONVENTION GetValueMultiThreadedPostProcess (void *workunitInfoAsVoid)
 
- Static Protected Attributes inherited from itk::ImageToImageMetric< TFixedImage, TMovingImage >
static constexpr unsigned int DeformationSplineOrder = 3
 

Member Typedef Documentation

◆ ConstPointer

template<typename TFixedImage , typename TMovingImage >
using itk::HistogramImageToImageMetric< TFixedImage, TMovingImage >::ConstPointer = SmartPointer<const Self>

Definition at line 48 of file itkHistogramImageToImageMetric.h.

◆ FixedImageConstPointerType

template<typename TFixedImage , typename TMovingImage >
using itk::HistogramImageToImageMetric< TFixedImage, TMovingImage >::FixedImageConstPointerType = typename Superclass::FixedImageConstPointer

Definition at line 68 of file itkHistogramImageToImageMetric.h.

◆ FixedImagePixelType

template<typename TFixedImage , typename TMovingImage >
using itk::HistogramImageToImageMetric< TFixedImage, TMovingImage >::FixedImagePixelType = typename Superclass::FixedImageType::PixelType

Definition at line 65 of file itkHistogramImageToImageMetric.h.

◆ HistogramPointer

template<typename TFixedImage , typename TMovingImage >
using itk::HistogramImageToImageMetric< TFixedImage, TMovingImage >::HistogramPointer = typename HistogramType::Pointer

Definition at line 78 of file itkHistogramImageToImageMetric.h.

◆ HistogramSizeType

template<typename TFixedImage , typename TMovingImage >
using itk::HistogramImageToImageMetric< TFixedImage, TMovingImage >::HistogramSizeType = typename HistogramType::SizeType

Definition at line 77 of file itkHistogramImageToImageMetric.h.

◆ HistogramType

template<typename TFixedImage , typename TMovingImage >
using itk::HistogramImageToImageMetric< TFixedImage, TMovingImage >::HistogramType = Statistics::Histogram<double>

Typedefs for histogram. This should have been defined as Histogram<RealType,2> but a bug in VC++7 produced an internal compiler error with such declaration.

Definition at line 74 of file itkHistogramImageToImageMetric.h.

◆ MeasurementVectorType

template<typename TFixedImage , typename TMovingImage >
using itk::HistogramImageToImageMetric< TFixedImage, TMovingImage >::MeasurementVectorType = typename HistogramType::MeasurementVectorType

Definition at line 76 of file itkHistogramImageToImageMetric.h.

◆ MovingImageConstPointerType

template<typename TFixedImage , typename TMovingImage >
using itk::HistogramImageToImageMetric< TFixedImage, TMovingImage >::MovingImageConstPointerType = typename Superclass::MovingImageConstPointer

Definition at line 69 of file itkHistogramImageToImageMetric.h.

◆ MovingImagePixelType

template<typename TFixedImage , typename TMovingImage >
using itk::HistogramImageToImageMetric< TFixedImage, TMovingImage >::MovingImagePixelType = typename Superclass::MovingImageType::PixelType

Definition at line 67 of file itkHistogramImageToImageMetric.h.

◆ Pointer

template<typename TFixedImage , typename TMovingImage >
using itk::HistogramImageToImageMetric< TFixedImage, TMovingImage >::Pointer = SmartPointer<Self>

Definition at line 47 of file itkHistogramImageToImageMetric.h.

◆ ScalesType

template<typename TFixedImage , typename TMovingImage >
using itk::HistogramImageToImageMetric< TFixedImage, TMovingImage >::ScalesType = Array<double>

The scales type.

Definition at line 127 of file itkHistogramImageToImageMetric.h.

◆ Self

template<typename TFixedImage , typename TMovingImage >
using itk::HistogramImageToImageMetric< TFixedImage, TMovingImage >::Self = HistogramImageToImageMetric

Standard class type aliases.

Definition at line 45 of file itkHistogramImageToImageMetric.h.

◆ Superclass

template<typename TFixedImage , typename TMovingImage >
using itk::HistogramImageToImageMetric< TFixedImage, TMovingImage >::Superclass = ImageToImageMetric<TFixedImage, TMovingImage>

Definition at line 46 of file itkHistogramImageToImageMetric.h.

Constructor & Destructor Documentation

◆ HistogramImageToImageMetric()

template<typename TFixedImage , typename TMovingImage >
itk::HistogramImageToImageMetric< TFixedImage, TMovingImage >::HistogramImageToImageMetric ( )
protected

Constructor is protected to ensure that New() function is used to create instances.

◆ ~HistogramImageToImageMetric()

template<typename TFixedImage , typename TMovingImage >
itk::HistogramImageToImageMetric< TFixedImage, TMovingImage >::~HistogramImageToImageMetric ( )
overrideprotecteddefault

Constructor is protected to ensure that New() function is used to create instances.

Member Function Documentation

◆ ComputeHistogram() [1/2]

template<typename TFixedImage , typename TMovingImage >
void itk::HistogramImageToImageMetric< TFixedImage, TMovingImage >::ComputeHistogram ( const TransformParametersType parameters,
HistogramType histogram 
) const
protected

Computes the joint histogram from the transformation parameters passed to the function.

◆ ComputeHistogram() [2/2]

template<typename TFixedImage , typename TMovingImage >
void itk::HistogramImageToImageMetric< TFixedImage, TMovingImage >::ComputeHistogram ( const TransformParametersType parameters,
unsigned int  parameter,
double  step,
HistogramType histogram 
) const
protected

Computes the joint histogram from the transformation parameters passed to the function.

◆ CopyHistogram()

template<typename TFixedImage , typename TMovingImage >
void itk::HistogramImageToImageMetric< TFixedImage, TMovingImage >::CopyHistogram ( HistogramType target,
HistogramType source 
) const
protected

Copies a histogram.

◆ EvaluateMeasure()

template<typename TFixedImage , typename TMovingImage >
virtual MeasureType itk::HistogramImageToImageMetric< TFixedImage, TMovingImage >::EvaluateMeasure ( HistogramType histogram) const
protectedpure virtual

◆ GetDerivative()

template<typename TFixedImage , typename TMovingImage >
void itk::HistogramImageToImageMetric< TFixedImage, TMovingImage >::GetDerivative ( const TransformParametersType parameters,
DerivativeType derivative 
) const
override

Get the derivatives of the match measure.

◆ GetDerivativeStepLength()

template<typename TFixedImage , typename TMovingImage >
virtual double itk::HistogramImageToImageMetric< TFixedImage, TMovingImage >::GetDerivativeStepLength ( ) const
virtual

Returns the step length used to calculate the derivative.

◆ GetDerivativeStepLengthScales()

template<typename TFixedImage , typename TMovingImage >
virtual const ScalesType & itk::HistogramImageToImageMetric< TFixedImage, TMovingImage >::GetDerivativeStepLengthScales ( ) const
virtual

Returns the derivate step length scales.

◆ GetHistogram()

template<typename TFixedImage , typename TMovingImage >
virtual const HistogramPointer & itk::HistogramImageToImageMetric< TFixedImage, TMovingImage >::GetHistogram ( ) const
virtual

Return the joint histogram. This is updated during every call to the GetValue() method. The histogram can for instance be used by itk::HistogramToImageFilter to plot the joint histogram.

◆ GetHistogramSize()

template<typename TFixedImage , typename TMovingImage >
virtual const HistogramSizeType & itk::HistogramImageToImageMetric< TFixedImage, TMovingImage >::GetHistogramSize ( ) const
virtual

Gets the histogram size.

◆ GetLowerBound()

template<typename TFixedImage , typename TMovingImage >
const MeasurementVectorType & itk::HistogramImageToImageMetric< TFixedImage, TMovingImage >::GetLowerBound ( ) const

Returns the current state of m_LowerBound.

◆ GetNameOfClass()

template<typename TFixedImage , typename TMovingImage >
const char * itk::HistogramImageToImageMetric< TFixedImage, TMovingImage >::GetNameOfClass ( ) const
overridevirtual

◆ GetPaddingValue()

template<typename TFixedImage , typename TMovingImage >
virtual const FixedImagePixelType & itk::HistogramImageToImageMetric< TFixedImage, TMovingImage >::GetPaddingValue ( ) const
virtual

Returns the padding value.

◆ GetUpperBound()

template<typename TFixedImage , typename TMovingImage >
const MeasurementVectorType & itk::HistogramImageToImageMetric< TFixedImage, TMovingImage >::GetUpperBound ( ) const

Returns the current state of m_UpperBound.

◆ GetUpperBoundIncreaseFactor()

template<typename TFixedImage , typename TMovingImage >
virtual double itk::HistogramImageToImageMetric< TFixedImage, TMovingImage >::GetUpperBoundIncreaseFactor ( ) const
virtual

Factor to increase the upper bound for the samples in the histogram. Default value is 0.001

◆ GetUsePaddingValue()

template<typename TFixedImage , typename TMovingImage >
virtual bool itk::HistogramImageToImageMetric< TFixedImage, TMovingImage >::GetUsePaddingValue ( ) const
virtual

Set whether the padding value should be used to determine which pixels should be ignored when calculating the similarity measure. Those pixels in the fixed image which have the padding value will be ignored.

◆ GetValue()

template<typename TFixedImage , typename TMovingImage >
MeasureType itk::HistogramImageToImageMetric< TFixedImage, TMovingImage >::GetValue ( const TransformParametersType parameters) const
override

Get the value for single valued optimizers.

◆ GetValueAndDerivative()

template<typename TFixedImage , typename TMovingImage >
void itk::HistogramImageToImageMetric< TFixedImage, TMovingImage >::GetValueAndDerivative ( const TransformParametersType parameters,
MeasureType value,
DerivativeType derivative 
) const
override

Get value and derivatives for multiple valued optimizers.

◆ Initialize()

template<typename TFixedImage , typename TMovingImage >
void itk::HistogramImageToImageMetric< TFixedImage, TMovingImage >::Initialize ( )
overridevirtual

◆ PrintSelf()

template<typename TFixedImage , typename TMovingImage >
void itk::HistogramImageToImageMetric< TFixedImage, TMovingImage >::PrintSelf ( std::ostream &  os,
Indent  indent 
) const
overrideprotectedvirtual

◆ SetDerivativeStepLength()

template<typename TFixedImage , typename TMovingImage >
virtual void itk::HistogramImageToImageMetric< TFixedImage, TMovingImage >::SetDerivativeStepLength ( double  _arg)
virtual

Sets the step length used to calculate the derivative.

◆ SetDerivativeStepLengthScales()

template<typename TFixedImage , typename TMovingImage >
virtual void itk::HistogramImageToImageMetric< TFixedImage, TMovingImage >::SetDerivativeStepLengthScales ( ScalesType  _arg)
virtual

Sets the derivative step length scales.

◆ SetHistogramSize()

template<typename TFixedImage , typename TMovingImage >
virtual void itk::HistogramImageToImageMetric< TFixedImage, TMovingImage >::SetHistogramSize ( HistogramSizeType  _arg)
virtual

Sets the histogram size. Note this function must be called before Initialize().

◆ SetLowerBound()

template<typename TFixedImage , typename TMovingImage >
void itk::HistogramImageToImageMetric< TFixedImage, TMovingImage >::SetLowerBound ( const MeasurementVectorType bounds)

Set the lower bounds of the intensities to be considered for computing the histogram. This option allows to focus the computation of the Metric in a particular range of intensities that correspond to features of interest.

◆ SetPaddingValue()

template<typename TFixedImage , typename TMovingImage >
virtual void itk::HistogramImageToImageMetric< TFixedImage, TMovingImage >::SetPaddingValue ( FixedImagePixelType  _arg)
virtual

The padding value.

◆ SetTransform()

template<typename TFixedImage , typename TMovingImage >
void itk::HistogramImageToImageMetric< TFixedImage, TMovingImage >::SetTransform ( TransformType transform)
overridevirtual

Define the transform and thereby the parameter space of the metric and the space of its derivatives

Reimplemented from itk::ImageToImageMetric< TFixedImage, TMovingImage >.

◆ SetUpperBound()

template<typename TFixedImage , typename TMovingImage >
void itk::HistogramImageToImageMetric< TFixedImage, TMovingImage >::SetUpperBound ( const MeasurementVectorType bounds)

Set the upper bounds of the intensities to be considered for computing the histogram. This option allows to focus the computation of the Metric in a particular range of intensities that correspond to features of interest.

◆ SetUpperBoundIncreaseFactor()

template<typename TFixedImage , typename TMovingImage >
virtual void itk::HistogramImageToImageMetric< TFixedImage, TMovingImage >::SetUpperBoundIncreaseFactor ( double  _arg)
virtual

Factor to increase the upper bound for the samples in the histogram. Default value is 0.001

◆ SetUsePaddingValue()

template<typename TFixedImage , typename TMovingImage >
virtual void itk::HistogramImageToImageMetric< TFixedImage, TMovingImage >::SetUsePaddingValue ( bool  _arg)
virtual

Set whether the padding value should be used to determine which pixels should be ignored when calculating the similarity measure. Those pixels in the fixed image which have the padding value will be ignored.

Member Data Documentation

◆ m_DerivativeStepLength

template<typename TFixedImage , typename TMovingImage >
double itk::HistogramImageToImageMetric< TFixedImage, TMovingImage >::m_DerivativeStepLength {}
private

The step length used to calculate the derivative.

Definition at line 232 of file itkHistogramImageToImageMetric.h.

◆ m_DerivativeStepLengthScales

template<typename TFixedImage , typename TMovingImage >
ScalesType itk::HistogramImageToImageMetric< TFixedImage, TMovingImage >::m_DerivativeStepLengthScales {}
private

The derivative step length scales.

Definition at line 235 of file itkHistogramImageToImageMetric.h.

◆ m_Histogram

template<typename TFixedImage , typename TMovingImage >
HistogramPointer itk::HistogramImageToImageMetric< TFixedImage, TMovingImage >::m_Histogram {}
private

Pointer to the joint histogram. This is updated during every call to GetValue()

Definition at line 239 of file itkHistogramImageToImageMetric.h.

◆ m_HistogramSize

template<typename TFixedImage , typename TMovingImage >
HistogramSizeType itk::HistogramImageToImageMetric< TFixedImage, TMovingImage >::m_HistogramSize {}
protected

The histogram size.

Definition at line 177 of file itkHistogramImageToImageMetric.h.

◆ m_LowerBound

template<typename TFixedImage , typename TMovingImage >
MeasurementVectorType itk::HistogramImageToImageMetric< TFixedImage, TMovingImage >::m_LowerBound {}
mutableprotected

The lower bound for samples in the histogram.

Definition at line 180 of file itkHistogramImageToImageMetric.h.

◆ m_LowerBoundSetByUser

template<typename TFixedImage , typename TMovingImage >
bool itk::HistogramImageToImageMetric< TFixedImage, TMovingImage >::m_LowerBoundSetByUser {}
protected

Boolean flag to indicate whether the user supplied lower bounds or whether they should be computed from the min of image intensities

Definition at line 190 of file itkHistogramImageToImageMetric.h.

◆ m_PaddingValue

template<typename TFixedImage , typename TMovingImage >
FixedImagePixelType itk::HistogramImageToImageMetric< TFixedImage, TMovingImage >::m_PaddingValue {}
private

The padding value.

Definition at line 224 of file itkHistogramImageToImageMetric.h.

◆ m_UpperBound

template<typename TFixedImage , typename TMovingImage >
MeasurementVectorType itk::HistogramImageToImageMetric< TFixedImage, TMovingImage >::m_UpperBound {}
mutableprotected

The upper bound for samples in the histogram.

Definition at line 183 of file itkHistogramImageToImageMetric.h.

◆ m_UpperBoundIncreaseFactor

template<typename TFixedImage , typename TMovingImage >
double itk::HistogramImageToImageMetric< TFixedImage, TMovingImage >::m_UpperBoundIncreaseFactor {}
protected

The increase in the upper bound.

Definition at line 186 of file itkHistogramImageToImageMetric.h.

◆ m_UpperBoundSetByUser

template<typename TFixedImage , typename TMovingImage >
bool itk::HistogramImageToImageMetric< TFixedImage, TMovingImage >::m_UpperBoundSetByUser {}
protected

Boolean flag to indicate whether the user supplied upper bounds or whether they should be computed from the max of image intensities

Definition at line 194 of file itkHistogramImageToImageMetric.h.

◆ m_UsePaddingValue

template<typename TFixedImage , typename TMovingImage >
bool itk::HistogramImageToImageMetric< TFixedImage, TMovingImage >::m_UsePaddingValue {}
private

True if those pixels in the fixed image with the same value as the padding value should be ignored when calculating the similarity measure.

Definition at line 229 of file itkHistogramImageToImageMetric.h.


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