ITK  5.0.0
Insight Segmentation and Registration Toolkit
Public Types | Public Member Functions | Protected Member Functions | Protected Attributes | Private Attributes | List of all members
itk::HistogramImageToImageMetric< TFixedImage, TMovingImage > Class Template Referenceabstract

#include <itkHistogramImageToImageMetric.h>

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

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.

Public Types

using ConstPointer = SmartPointer< const Self >
 
using DerivativeType = typename Superclass::DerivativeType
 
using FixedImageConstPointerType = typename Superclass::FixedImageConstPointer
 
using FixedImagePixelType = typename Superclass::FixedImageType::PixelType
 
using FixedImageType = typename Superclass::FixedImageType
 
using GradientPixelType = typename Superclass::GradientPixelType
 
using HistogramPointer = typename HistogramType::Pointer
 
using HistogramSizeType = typename HistogramType::SizeType
 
using HistogramType = Statistics::Histogram< double >
 
using InputPointType = typename Superclass::InputPointType
 
using MeasurementVectorType = typename HistogramType::MeasurementVectorType
 
using MeasureType = typename Superclass::MeasureType
 
using MovingImageConstPointerType = typename Superclass::MovingImageConstPointer
 
using MovingImagePixelType = typename Superclass::MovingImageType::PixelType
 
using MovingImageType = typename Superclass::MovingImageType
 
using OutputPointType = typename Superclass::OutputPointType
 
using Pointer = SmartPointer< Self >
 
using RealType = typename Superclass::RealType
 
using ScalesType = Array< double >
 
using Self = HistogramImageToImageMetric
 
using Superclass = ImageToImageMetric< TFixedImage, TMovingImage >
 
using TransformJacobianType = typename Superclass::TransformJacobianType
 
using TransformParametersType = typename Superclass::TransformParametersType
 
using TransformPointer = typename Superclass::TransformPointer
 
using TransformType = typename Superclass::TransformType
 
- Public Types inherited from itk::ImageToImageMetric< TFixedImage, TMovingImage >
using ConstPointer = SmartPointer< const Self >
 
using CoordinateRepresentationType = typename Superclass::ParametersValueType
 
using DerivativeType = typename Superclass::DerivativeType
 
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 MeasureType = typename Superclass::MeasureType
 
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 ParametersType = typename Superclass::ParametersType
 
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< TInternalComputationValueType >
using ConstPointer = SmartPointer< const Self >
 
using ParametersType = OptimizerParameters< TInternalComputationValueType >
 
using ParametersValueType = TInternalComputationValueType
 
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
 
virtual const char * GetNameOfClass () const
 
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 &bound)
 
virtual void SetPaddingValue (FixedImagePixelType _arg)
 
void SetTransform (TransformType *transform) override
 
void SetUpperBound (const MeasurementVectorType &bound)
 
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
FixedImageRegionType
GetFixedImageRegion () const
 
virtual const FixedImagePixelTypeGetFixedImageSamplesIntensityThreshold () const
 
virtual const GradientImageTypeGetGradientImage () const
 
virtual const InterpolatorTypeGetInterpolator () const
 
virtual GradientImageTypeGetModifiableGradientImage ()
 
virtual InterpolatorTypeGetModifiableInterpolator ()
 
virtual TransformTypeGetModifiableTransform ()
 
SizeValueType GetNumberOfMovingImageSamples ()
 
unsigned int GetNumberOfParameters () const override
 
virtual const SizeValueTypeGetNumberOfPixelsCounted () const
 
SizeValueType GetNumberOfSpatialSamples ()
 
virtual const TransformTypeGetTransform () const
 
virtual const bool & GetUseAllPixels () const
 
virtual const bool & GetUseFixedImageIndexes () const
 
virtual const bool & GetUseFixedImageSamplesIntensityThreshold () const
 
virtual const bool & GetUseSequentialSampling () const
 
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 useIndex)
 
void SetUseFixedImageSamplesIntensityThreshold (bool useThresh)
 
void SetUseSequentialSampling (bool sequentialSampling)
 
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 (MovingImageMaskType *_arg)
 
virtual void SetMovingImageMask (const MovingImageMaskType *_arg)
 
virtual const MovingImageMaskTypeGetMovingImageMask () const
 
virtual void SetFixedImageMask (FixedImageMaskType *_arg)
 
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 ComputeGradientOff ()
 
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 void UseCachingOfBSplineWeightsOff ()
 
virtual MultiThreaderTypeGetModifiableThreader ()
 
virtual const MultiThreaderTypeGetThreader () const
 
const TransformPointerGetThreaderTransform ()
 
- Public Member Functions inherited from itk::SingleValuedCostFunction
virtual void GetDerivative (const ParametersType &parameters, DerivativeType &derivative) const =0
 
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::Object
unsigned long AddObserver (const EventObject &event, Command *)
 
unsigned long AddObserver (const EventObject &event, Command *) 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)
 
void SetDebug (bool debugFlag) const
 
void SetReferenceCount (int) override
 
void UnRegister () const noexceptoverride
 
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
virtual void Delete ()
 
virtual int GetReferenceCount () const
 
 itkCloneMacro (Self)
 
void Print (std::ostream &os, Indent indent=0) const
 

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
 
void GetValueMultiThreadedInitiate () const
 
void GetValueMultiThreadedPostProcessInitiate () const
 
virtual void GetValueThread (ThreadIdType threadId) const
 
virtual void GetValueThreadPostProcess (ThreadIdType, bool) const
 
virtual void GetValueThreadPreProcess (ThreadIdType, bool) const
 
virtual bool GetValueThreadProcessSample (ThreadIdType, SizeValueType, const MovingImagePointType &, double) 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 &sampleWithinSupportRegion, double &movingImageValue, ThreadIdType threadId) const
 
virtual void TransformPointWithDerivatives (unsigned int sampleNumber, MovingImagePointType &mappedPoint, bool &sampleWithinSupportRegion, double &movingImageValue, ImageDerivativesType &gradient, ThreadIdType threadId) const
 
 ~ImageToImageMetric () override
 
- Protected Member Functions inherited from itk::SingleValuedCostFunction
 SingleValuedCostFunction ()=default
 
 ~SingleValuedCostFunction () override
 
- Protected Member Functions inherited from itk::CostFunctionTemplate< TInternalComputationValueType >
 CostFunctionTemplate ()=default
 
 ~CostFunctionTemplate () override=default
 
- Protected Member Functions inherited from itk::Object
 Object ()
 
bool PrintObservers (std::ostream &os, Indent indent) const
 
virtual void SetTimeStamp (const TimeStamp &time)
 
 ~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 ()
 

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}
 
ConstantPointerWrapperm_ConstSelfWrapper
 
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
 
bool m_InterpolatorIsBSpline {false}
 
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}
 
MultiThreaderType::Pointer m_Threader
 
BSplineTransformIndexArrayTypem_ThreaderBSplineTransformIndices
 
BSplineTransformWeightsTypem_ThreaderBSplineTransformWeights
 
unsigned int * m_ThreaderNumberOfMovingImageSamples {nullptr}
 
TransformPointerm_ThreaderTransform
 
TransformPointer m_Transform
 
bool m_TransformIsBSpline {false}
 
bool m_UseAllPixels {false}
 
bool m_UseCachingOfBSplineWeights {true}
 
bool m_UseFixedImageIndexes {false}
 
bool m_UseFixedImageSamplesIntensityThreshold {false}
 
bool m_UseSequentialSampling {false}
 
BooleanArrayType m_WithinBSplineSupportRegionArray
 
bool m_WithinThreadPostProcess {false}
 
bool m_WithinThreadPreProcess {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 flag)
 
- 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 *arg)
 
static
ITK_THREAD_RETURN_FUNCTION_CALL_CONVENTION 
GetValueAndDerivativeMultiThreadedPostProcess (void *arg)
 
static
ITK_THREAD_RETURN_FUNCTION_CALL_CONVENTION 
GetValueMultiThreaded (void *arg)
 
static
ITK_THREAD_RETURN_FUNCTION_CALL_CONVENTION 
GetValueMultiThreadedPostProcess (void *arg)
 
- Static Protected Attributes inherited from itk::ImageToImageMetric< TFixedImage, TMovingImage >
static constexpr unsigned int DeformationSplineOrder = 3
 

Member Typedef Documentation

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

Definition at line 49 of file itkHistogramImageToImageMetric.h.

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

Definition at line 64 of file itkHistogramImageToImageMetric.h.

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

Definition at line 69 of file itkHistogramImageToImageMetric.h.

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

Definition at line 66 of file itkHistogramImageToImageMetric.h.

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

Definition at line 65 of file itkHistogramImageToImageMetric.h.

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

Definition at line 60 of file itkHistogramImageToImageMetric.h.

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

Definition at line 79 of file itkHistogramImageToImageMetric.h.

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

Definition at line 78 of file itkHistogramImageToImageMetric.h.

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 75 of file itkHistogramImageToImageMetric.h.

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

Definition at line 61 of file itkHistogramImageToImageMetric.h.

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

Definition at line 77 of file itkHistogramImageToImageMetric.h.

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

Definition at line 63 of file itkHistogramImageToImageMetric.h.

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

Definition at line 70 of file itkHistogramImageToImageMetric.h.

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

Definition at line 68 of file itkHistogramImageToImageMetric.h.

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

Definition at line 67 of file itkHistogramImageToImageMetric.h.

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

Definition at line 62 of file itkHistogramImageToImageMetric.h.

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

Definition at line 48 of file itkHistogramImageToImageMetric.h.

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

Types transferred from the base class

Definition at line 55 of file itkHistogramImageToImageMetric.h.

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

The scales type.

Definition at line 126 of file itkHistogramImageToImageMetric.h.

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

Standard class type aliases.

Definition at line 46 of file itkHistogramImageToImageMetric.h.

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

Definition at line 47 of file itkHistogramImageToImageMetric.h.

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

Definition at line 59 of file itkHistogramImageToImageMetric.h.

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

Definition at line 58 of file itkHistogramImageToImageMetric.h.

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

Definition at line 57 of file itkHistogramImageToImageMetric.h.

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

Definition at line 56 of file itkHistogramImageToImageMetric.h.

Constructor & Destructor Documentation

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

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

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

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.

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.

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

Copies a histogram.

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

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

Returns the step length used to calculate the derivative.

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

Returns the derivate step length scales.

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.

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

Gets the histogram size.

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

Returns the current state of m_LowerBound.

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

Returns the padding value.

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

Returns the current state of m_UpperBound.

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

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.

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

Get the value for single valued optimizers.

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.

template<typename TFixedImage , typename TMovingImage >
void itk::HistogramImageToImageMetric< TFixedImage, TMovingImage >::Initialize ( )
overridevirtual
template<typename TFixedImage , typename TMovingImage >
void itk::HistogramImageToImageMetric< TFixedImage, TMovingImage >::PrintSelf ( std::ostream &  os,
Indent  indent 
) const
overrideprotectedvirtual
template<typename TFixedImage , typename TMovingImage >
virtual void itk::HistogramImageToImageMetric< TFixedImage, TMovingImage >::SetDerivativeStepLength ( double  _arg)
virtual

Sets the step length used to calculate the derivative.

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

Sets the derivative step length scales.

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().

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

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.

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

The padding value.

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

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

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

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.

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

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

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

The step length used to calculate the derivative.

Definition at line 221 of file itkHistogramImageToImageMetric.h.

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

The derivative step length scales.

Definition at line 224 of file itkHistogramImageToImageMetric.h.

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 228 of file itkHistogramImageToImageMetric.h.

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

The histogram size.

Definition at line 170 of file itkHistogramImageToImageMetric.h.

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

The lower bound for samples in the histogram.

Definition at line 173 of file itkHistogramImageToImageMetric.h.

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 183 of file itkHistogramImageToImageMetric.h.

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

The padding value.

Definition at line 213 of file itkHistogramImageToImageMetric.h.

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

The upper bound for samples in the histogram.

Definition at line 176 of file itkHistogramImageToImageMetric.h.

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

The increase in the upper bound.

Definition at line 179 of file itkHistogramImageToImageMetric.h.

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 187 of file itkHistogramImageToImageMetric.h.

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 218 of file itkHistogramImageToImageMetric.h.


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