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itk::KullbackLeiblerCompareHistogramImageToImageMetric< TFixedImage, TMovingImage > Class Template Reference
[Similarity Metrics of Registration Methods]

Computes the Kubler Lieblach(KL) metric between the histogram of the two images to be registered and a training histogram. More...

#include <itkKullbackLeiblerCompareHistogramImageToImageMetric.h>

Inheritance diagram for itk::KullbackLeiblerCompareHistogramImageToImageMetric< TFixedImage, TMovingImage >:
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Collaboration diagram for itk::KullbackLeiblerCompareHistogramImageToImageMetric< TFixedImage, TMovingImage >:
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List of all members.

Public Types

typedef SmartPointer< const SelfConstPointer
typedef
Superclass::ParametersValueType 
CoordinateRepresentationType
typedef
Superclass::ParametersValueType 
CoordinateRepresentationType
typedef Superclass::DerivativeType DerivativeType
typedef
Superclass::FixedImageConstPointer 
FixedImageConstPointer
typedef
Superclass::FixedImageConstPointer 
FixedImageConstPointerType
typedef std::vector
< FixedImageIndexType
FixedImageIndexContainer
typedef FixedImageType::IndexType FixedImageIndexType
typedef
FixedImageIndexType::IndexValueType 
FixedImageIndexValueType
typedef
FixedImageMaskType::ConstPointer 
FixedImageMaskConstPointer
typedef
FixedImageMaskType::ConstPointer 
FixedImageMaskConstPointer
typedef FixedImageMaskType::Pointer FixedImageMaskPointer
typedef FixedImageMaskType::Pointer FixedImageMaskPointer
typedef SpatialObject
< itkGetStaticConstMacro(FixedImageDimension) > 
FixedImageMaskType
typedef SpatialObject
< itkGetStaticConstMacro(FixedImageDimension) > 
FixedImageMaskType
typedef
Superclass::FixedImageType::PixelType 
FixedImagePixelType
typedef
TransformType::InputPointType 
FixedImagePointType
typedef
Superclass::FixedImageRegionType 
FixedImageRegionType
typedef Superclass::FixedImageType FixedImageType
typedef
Superclass::GradientPixelType 
GradientPixelType
typedef
HistogramType::FrequencyType 
HistogramAbsoluteFrequencyType
typedef
Superclass::HistogramFrequencyType 
HistogramFrequencyType
typedef
Superclass::HistogramIteratorType 
HistogramIteratorType
typedef
Superclass::MeasurementVectorType 
HistogramMeasurementVectorType
typedef HistogramType::Pointer HistogramPointer
typedef
Superclass::HistogramPointerType 
HistogramPointerType
typedef
Superclass::HistogramSizeType 
HistogramSizeType
typedef Superclass::HistogramType HistogramType
typedef Superclass::InputPointType InputPointType
typedef
Superclass::InterpolatorPointer 
InterpolatorPointer
typedef
Superclass::InterpolatorType 
InterpolatorType
typedef
HistogramType::MeasurementVectorType 
MeasurementVectorType
typedef Superclass::MeasureType MeasureType
typedef
Superclass::MovingImageConstPointer 
MovingImageConstPointer
typedef
Superclass::MovingImageConstPointer 
MovingImageConstPointerType
typedef MovingImageType::IndexType MovingImageIndexType
typedef
MovingImageMaskType::ConstPointer 
MovingImageMaskConstPointer
typedef
MovingImageMaskType::ConstPointer 
MovingImageMaskConstPointer
typedef
MovingImageMaskType::Pointer 
MovingImageMaskPointer
typedef
MovingImageMaskType::Pointer 
MovingImageMaskPointer
typedef SpatialObject
< itkGetStaticConstMacro(MovingImageDimension) > 
MovingImageMaskType
typedef SpatialObject
< itkGetStaticConstMacro(MovingImageDimension) > 
MovingImageMaskType
typedef
Superclass::MovingImageType::PixelType 
MovingImagePixelType
typedef
TransformType::OutputPointType 
MovingImagePointType
typedef Superclass::MovingImageType MovingImageType
typedef MultiThreader MultiThreaderType
typedef Superclass::OutputPointType OutputPointType
typedef Superclass::ParametersType ParametersType
typedef Superclass::ParametersType ParametersType
typedef double ParametersValueType
typedef SmartPointer< SelfPointer
typedef Superclass::RealType RealType
typedef Array< double > ScalesType
typedef
KullbackLeiblerCompareHistogramImageToImageMetric 
Self
typedef
CompareHistogramImageToImageMetric
< TFixedImage, TMovingImage > 
Superclass
typedef Superclass::ConstPointer TransformConstPointer
typedef
Superclass::TransformJacobianType 
TransformJacobianType
typedef
Superclass::TransformParametersType 
TransformParametersType
typedef
Superclass::TransformPointer 
TransformPointer
typedef Superclass::TransformType TransformType

typedef Image
< GradientPixelType,
itkGetStaticConstMacro(MovingImageDimension)> 
GradientImageType
typedef SmartPointer
< GradientImageType
GradientImagePointer
typedef
GradientRecursiveGaussianImageFilter
< MovingImageType,
GradientImageType
GradientImageFilterType
typedef
GradientImageFilterType::Pointer 
GradientImageFilterPointer

typedef Image
< GradientPixelType,
itkGetStaticConstMacro(MovingImageDimension)> 
GradientImageType
typedef SmartPointer
< GradientImageType
GradientImagePointer
typedef
GradientRecursiveGaussianImageFilter
< MovingImageType,
GradientImageType
GradientImageFilterType
typedef
GradientImageFilterType::Pointer 
GradientImageFilterPointer

Public Member Functions

virtual void ComputeGradient ()
virtual void ComputeGradient (void)
virtual LightObject::Pointer CreateAnother () const
virtual void DebugOff () const
virtual void DebugOn () const
virtual void Delete ()
CommandGetCommand (unsigned long tag)
bool GetDebug () const
virtual void GetDerivative (const ParametersType &parameters, DerivativeType &derivative) const =0
void GetDerivative (const TransformParametersType &parameters, DerivativeType &derivative) const
virtual double GetDerivativeStepLength () const
virtual const ScalesTypeGetDerivativeStepLengthScales ()
virtual const double & GetEpsilon ()
virtual const FixedImageTypeGetFixedImage ()
virtual const FixedImageTypeGetFixedImage ()
virtual const
FixedImageRegionType
GetFixedImageRegion ()
virtual const
FixedImageRegionType
GetFixedImageRegion ()
virtual const GradientImageTypeGetGradientImage ()
virtual const GradientImageTypeGetGradientImage ()
virtual const HistogramPointerGetHistogram ()
virtual const HistogramSizeTypeGetHistogramSize ()
virtual const InterpolatorTypeGetInterpolator ()
virtual const InterpolatorTypeGetInterpolator ()
MetaDataDictionaryGetMetaDataDictionary (void)
const MetaDataDictionaryGetMetaDataDictionary (void) const
virtual const MovingImageTypeGetMovingImage ()
virtual const MovingImageTypeGetMovingImage ()
virtual unsigned long GetMTime () const
virtual const char * GetNameOfClass () const
unsigned int GetNumberOfParameters (void) const
virtual const unsigned long & GetNumberOfPixelsCounted ()
virtual const FixedImagePixelTypeGetPaddingValue ()
virtual int GetReferenceCount () const
virtual const FixedImageTypeGetTrainingFixedImage ()
virtual const
FixedImageRegionType
GetTrainingFixedImageRegion ()
virtual const
HistogramPointerType
GetTrainingHistogram ()
virtual InterpolatorTypeGetTrainingInterpolator ()
virtual const MovingImageTypeGetTrainingMovingImage ()
virtual TransformTypeGetTrainingTransform ()
virtual const TransformTypeGetTransform ()
virtual const TransformTypeGetTransform ()
virtual const bool & GetUseFixedImageSamplesIntensityThreshold ()
MeasureType GetValue (const TransformParametersType &parameters) const
virtual MeasureType GetValue (const ParametersType &parameters) const =0
void GetValueAndDerivative (const TransformParametersType &parameters, MeasureType &Value, DerivativeType &Derivative) const
bool HasObserver (const EventObject &event) const
void Initialize () throw (ExceptionObject)
void InvokeEvent (const EventObject &)
void InvokeEvent (const EventObject &) const
virtual void Modified () const
virtual void MultiThreadingInitialize (void) throw ( ExceptionObject )
void Print (std::ostream &os, Indent indent=0) const
virtual void Register () const
void RemoveAllObservers ()
void RemoveObserver (unsigned long tag)
void SetDebug (bool debugFlag) const
virtual void SetDerivativeStepLength (double _arg)
virtual void SetDerivativeStepLengthScales (ScalesType _arg)
virtual void SetEpsilon (double _arg)
virtual void SetFixedImage (const FixedImageType *_arg)
virtual void SetFixedImage (const FixedImageType *_arg)
virtual void SetFixedImageRegion (FixedImageRegionType _arg)
void SetFixedImageRegion (const FixedImageRegionType reg)
virtual void SetHistogramSize (HistogramSizeType _arg)
virtual void SetInterpolator (InterpolatorType *_arg)
virtual void SetInterpolator (InterpolatorType *_arg)
void SetLowerBound (const MeasurementVectorType &bound)
void SetMetaDataDictionary (const MetaDataDictionary &rhs)
virtual void SetMovingImage (const MovingImageType *_arg)
virtual void SetMovingImage (const MovingImageType *_arg)
virtual void SetPaddingValue (FixedImagePixelType _arg)
virtual void SetReferenceCount (int)
virtual void SetTrainingFixedImage (const FixedImageType *_arg)
virtual void SetTrainingFixedImageRegion (FixedImageRegionType _arg)
virtual void SetTrainingHistogram (HistogramPointerType _arg)
virtual void SetTrainingInterpolator (InterpolatorType *_arg)
virtual void SetTrainingMovingImage (const MovingImageType *_arg)
virtual void SetTrainingTransform (TransformType *_arg)
virtual void SetTransform (TransformType *_arg)
void SetTransform (TransformType *transform)
void SetTransformParameters (const ParametersType &parameters) const
void SetTransformParameters (const ParametersType &parameters) const
void SetUpperBound (const MeasurementVectorType &bound)
void SetUseFixedImageSamplesIntensityThreshold (bool useThresh)
virtual void UnRegister () const

virtual void SetUpperBoundIncreaseFactor (double _arg)
virtual double GetUpperBoundIncreaseFactor () const

virtual void SetUsePaddingValue (bool _arg)
virtual bool GetUsePaddingValue () const

virtual void GetValueAndDerivative (const ParametersType &parameters, MeasureType &value, DerivativeType &derivative) const

virtual const unsigned long & GetNumberOfPixelsCounted ()
unsigned long GetNumberOfMovingImageSamples (void)

virtual void SetMovingImageMask (MovingImageMaskType *_arg)
virtual void SetMovingImageMask (const MovingImageMaskType *mask)
virtual const MovingImageMaskTypeGetMovingImageMask ()

virtual void SetMovingImageMask (MovingImageMaskType *_arg)
virtual void SetMovingImageMask (const MovingImageMaskType *_arg)
virtual const MovingImageMaskTypeGetMovingImageMask ()

virtual void SetFixedImageMask (FixedImageMaskType *_arg)
virtual void SetFixedImageMask (const FixedImageMaskType *mask)
virtual const FixedImageMaskTypeGetFixedImageMask ()

virtual void SetFixedImageMask (FixedImageMaskType *_arg)
virtual void SetFixedImageMask (const FixedImageMaskType *_arg)
virtual const FixedImageMaskTypeGetFixedImageMask ()

virtual void SetComputeGradient (bool _arg)
virtual const bool & GetComputeGradient ()
virtual void ComputeGradientOn ()
virtual void ComputeGradientOff ()

virtual void SetComputeGradient (bool _arg)
virtual const bool & GetComputeGradient ()
virtual void ComputeGradientOn ()
virtual void ComputeGradientOff ()

void SetFixedImageIndexes (const FixedImageIndexContainer &indexes)
void SetUseFixedImageIndexes (bool useIndex)
virtual const bool & GetUseFixedImageIndexes ()

void SetNumberOfThreads (unsigned int numberOfThreads)
virtual const unsigned int & GetNumberOfThreads ()

virtual void SetNumberOfFixedImageSamples (unsigned long numSamples)
virtual const unsigned long & GetNumberOfFixedImageSamples ()

void SetNumberOfSpatialSamples (unsigned long num)
unsigned long GetNumberOfSpatialSamples (void)

void SetFixedImageSamplesIntensityThreshold (const FixedImagePixelType &thresh)
virtual const FixedImagePixelTypeGetFixedImageSamplesIntensityThreshold ()

void SetUseAllPixels (bool useAllPixels)
void UseAllPixelsOn (void)
void UseAllPixelsOff (void)
virtual const bool & GetUseAllPixels ()

void SetUseSequentialSampling (bool sequentialSampling)
virtual const bool & GetUseSequentialSampling ()

void ReinitializeSeed ()
void ReinitializeSeed (int seed)

virtual void SetUseCachingOfBSplineWeights (bool _arg)
virtual const bool & GetUseCachingOfBSplineWeights ()
virtual void UseCachingOfBSplineWeightsOn ()
virtual void UseCachingOfBSplineWeightsOff ()

virtual const MultiThreaderTypeGetThreader ()
const TransformPointerGetThreaderTransform ()

unsigned long AddObserver (const EventObject &event, Command *)
unsigned long AddObserver (const EventObject &event, Command *) const

Static Public Member Functions

static void BreakOnError ()
static Pointer New ()

static void SetGlobalWarningDisplay (bool flag)
static bool GetGlobalWarningDisplay ()
static void GlobalWarningDisplayOn ()
static void GlobalWarningDisplayOff ()

Static Public Attributes

static const unsigned int MovingImageDimension = TMovingImage::ImageDimension
static const unsigned int FixedImageDimension = TFixedImage::ImageDimension

Protected Types

typedef std::vector< bool > BooleanArrayType
typedef
BSplineInterpolateImageFunction
< MovingImageType,
CoordinateRepresentationType
BSplineInterpolatorType
typedef FixedArray< unsigned
long,::itk::GetImageDimension
< FixedImageType >
::ImageDimension > 
BSplineParametersOffsetType
typedef
BSplineTransformType::ParameterIndexArrayType 
BSplineTransformIndexArrayType
typedef Array2D< IndexValueTypeBSplineTransformIndicesArrayType
typedef
BSplineDeformableTransform
< CoordinateRepresentationType,::itk::GetImageDimension
< FixedImageType >
::ImageDimension,
itkGetStaticConstMacro(DeformationSplineOrder) > 
BSplineTransformType
typedef Array2D< WeightsValueTypeBSplineTransformWeightsArrayType
typedef
BSplineTransformType::WeightsType 
BSplineTransformWeightsType
typedef
CentralDifferenceImageFunction
< MovingImageType,
CoordinateRepresentationType
DerivativeFunctionType
typedef std::vector
< FixedImageSamplePoint
FixedImageSampleContainer
typedef CovariantVector
< double,
itkGetStaticConstMacro(MovingImageDimension) > 
ImageDerivativesType
typedef
BSplineTransformIndexArrayType::ValueType 
IndexValueType
typedef std::vector
< MovingImagePointType
MovingImagePointArrayType
typedef
BSplineTransformWeightsType::ValueType 
WeightsValueType

typedef int InternalReferenceCountType

Protected Member Functions

void ComputeHistogram (const TransformParametersType &parameters, HistogramType &histogram) const
void ComputeHistogram (const TransformParametersType &parameters, unsigned int parameter, double step, HistogramType &histogram) const
virtual void ComputeImageDerivatives (const MovingImagePointType &mappedPoint, ImageDerivativesType &gradient, unsigned int threadID) const
void CopyHistogram (HistogramType &target, HistogramType &source) const
virtual MeasureType EvaluateMeasure (HistogramType &histogram) const
void FormTrainingHistogram () throw (ExceptionObject)
void GetValueAndDerivativeMultiThreadedInitiate (void) const
void GetValueAndDerivativeMultiThreadedPostProcessInitiate (void) const
void GetValueAndDerivativeMultiThreadedPreProcessInitiate (void) const
virtual void GetValueAndDerivativeThread (unsigned int threadID) const
virtual void GetValueAndDerivativeThreadPostProcess (unsigned int, bool) const
virtual void GetValueAndDerivativeThreadPreProcess (unsigned int, bool) const
virtual bool GetValueAndDerivativeThreadProcessSample (unsigned int, unsigned long, const MovingImagePointType &, double, const ImageDerivativesType &) const
void GetValueMultiThreadedInitiate (void) const
void GetValueMultiThreadedPostProcessInitiate (void) const
void GetValueMultiThreadedPreProcessInitiate (void) const
virtual void GetValueThread (unsigned int threadID) const
virtual void GetValueThreadPostProcess (unsigned int, bool) const
virtual void GetValueThreadPreProcess (unsigned int, bool) const
virtual bool GetValueThreadProcessSample (unsigned int, unsigned long, const MovingImagePointType &, double) const
virtual void PreComputeTransformValues (void)
bool PrintObservers (std::ostream &os, Indent indent) const
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, unsigned int threadID) const
virtual void TransformPointWithDerivatives (unsigned int sampleNumber, MovingImagePointType &mappedPoint, bool &sampleWithinSupportRegion, double &movingImageValue, ImageDerivativesType &gradient, unsigned int threadID) const

 KullbackLeiblerCompareHistogramImageToImageMetric ()
virtual ~KullbackLeiblerCompareHistogramImageToImageMetric ()
void PrintSelf (std::ostream &os, Indent indent) const

virtual void PrintHeader (std::ostream &os, Indent indent) const
virtual void PrintTrailer (std::ostream &os, Indent indent) const

Static Protected Member Functions

static ITK_THREAD_RETURN_TYPE GetValueAndDerivativeMultiThreaded (void *arg)
static ITK_THREAD_RETURN_TYPE GetValueAndDerivativeMultiThreadedPostProcess (void *arg)
static ITK_THREAD_RETURN_TYPE GetValueAndDerivativeMultiThreadedPreProcess (void *arg)
static ITK_THREAD_RETURN_TYPE GetValueMultiThreaded (void *arg)
static ITK_THREAD_RETURN_TYPE GetValueMultiThreadedPostProcess (void *arg)
static ITK_THREAD_RETURN_TYPE GetValueMultiThreadedPreProcess (void *arg)

Protected Attributes

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
DerivativeFunctionType::Pointer m_DerivativeCalculator
double m_Epsilon
FixedImageConstPointer m_FixedImage
FixedImageIndexContainer m_FixedImageIndexes
FixedImageMaskConstPointer m_FixedImageMask
FixedImageMaskPointer m_FixedImageMask
FixedImageSampleContainer m_FixedImageSamples
FixedImagePixelType m_FixedImageSamplesIntensityThreshold
GradientImagePointer m_GradientImage
HistogramSizeType m_HistogramSize
InterpolatorPointer m_Interpolator
bool m_InterpolatorIsBSpline
MeasurementVectorType m_LowerBound
bool m_LowerBoundSetByUser
MovingImageConstPointer m_MovingImage
MovingImageMaskPointer m_MovingImageMask
MovingImageMaskConstPointer m_MovingImageMask
unsigned long m_NumberOfFixedImageSamples
unsigned long m_NumberOfParameters
unsigned long m_NumberOfPixelsCounted
unsigned int m_NumberOfThreads
unsigned long m_NumBSplineWeights
ParametersType m_Parameters
int m_RandomSeed
InternalReferenceCountType m_ReferenceCount
SimpleFastMutexLock m_ReferenceCountLock
bool m_ReseedIterator
MultiThreaderType::Pointer m_Threader
BSplineTransformIndexArrayTypem_ThreaderBSplineTransformIndices
BSplineTransformWeightsTypem_ThreaderBSplineTransformWeights
unsigned int * m_ThreaderNumberOfMovingImageSamples
MultiThreaderParameterType m_ThreaderParameter
TransformPointerm_ThreaderTransform
TransformPointer m_Transform
bool m_TransformIsBSpline
MeasurementVectorType m_UpperBound
double m_UpperBoundIncreaseFactor
bool m_UpperBoundSetByUser
bool m_UseAllPixels
bool m_UseCachingOfBSplineWeights
bool m_UseFixedImageIndexes
bool m_UseFixedImageSamplesIntensityThreshold
bool m_UseSequentialSampling
BooleanArrayType m_WithinBSplineSupportRegionArray
bool m_WithinThreadPostProcess
bool m_WithinThreadPreProcess

Static Protected Attributes

static const unsigned int DeformationSplineOrder = 3

Detailed Description

template<class TFixedImage, class TMovingImage>
class itk::KullbackLeiblerCompareHistogramImageToImageMetric< TFixedImage, TMovingImage >

Computes the Kubler Lieblach(KL) metric between the histogram of the two images to be registered and a training histogram.

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

This class computers the KL-metric by comparing the histograms of the testing histogram formed by the overlap of intensities in the images, to a training histogram. It is based on the following paper:

Albert C.S. Chung, William M. Wells III, Alexander Norbash, and W. Eric L. Grimson, Multi-modal Image Registration by Minimising Kullback-Leibler Distance, In Medical Image Computing and Computer-Assisted Intervention - MICCAI 2002, LNCS 2489, pp. 525 - 532.

The metric is given by KL(P_test||P_train) = Sum_{i1,i2} P_test(i1,i2) vcl_log(P_test(i1,i2)/P_train(i1,i2)) where P_test and P_train are probabilities given my normalized histograms, and i1 and i2 are the intensity bins in the histogram.

PARAMETERS
Epsilon is added to every bin in both histograms. This prevents division by zero problems. Epsilon should generally be set to a number smaller than one divided by the total number bins in the histogram. So, for a 256 by 256 histogram, Epsilon should be much less than 1e-5. Tests have shown that choices of epsilon are not very important as long as it is small enough. The default is 1e-12. I doubt you will need to change it.
Author:
Samson Timoner
SUPPORT
This work was supported by the Functional Imaging Research in Schizophrenia Testbed (FIRST) Biomedical Informatics Research Network (BIRN, http://www.nbirn.net), which is funded by the National Center for Research Resources at the National Institutes of Health (NIH). This work is also funded by the Neuroimage Analysis Center (P41 RR13218).

Definition at line 70 of file itkKullbackLeiblerCompareHistogramImageToImageMetric.h.


Member Typedef Documentation

template<class TFixedImage , class TMovingImage >
typedef std::vector<bool> itk::ImageToImageMetric< TFixedImage, TMovingImage >::BooleanArrayType [protected, inherited]

Definition at line 462 of file itkOptImageToImageMetric.h.

template<class TFixedImage , class TMovingImage >
typedef BSplineInterpolateImageFunction<MovingImageType, CoordinateRepresentationType> itk::ImageToImageMetric< TFixedImage, TMovingImage >::BSplineInterpolatorType [protected, inherited]

If a BSplineInterpolationFunction is used, this class obtain image derivatives from the BSpline interpolator. Otherwise, image derivatives are computed using central differencing.

Definition at line 473 of file itkOptImageToImageMetric.h.

template<class TFixedImage , class TMovingImage >
typedef FixedArray< unsigned long, ::itk::GetImageDimension<FixedImageType>::ImageDimension > itk::ImageToImageMetric< TFixedImage, TMovingImage >::BSplineParametersOffsetType [protected, inherited]

Definition at line 465 of file itkOptImageToImageMetric.h.

template<class TFixedImage , class TMovingImage >
typedef BSplineTransformType::ParameterIndexArrayType itk::ImageToImageMetric< TFixedImage, TMovingImage >::BSplineTransformIndexArrayType [protected, inherited]
template<class TFixedImage , class TMovingImage >
typedef Array2D<IndexValueType> itk::ImageToImageMetric< TFixedImage, TMovingImage >::BSplineTransformIndicesArrayType [protected, inherited]

Definition at line 459 of file itkOptImageToImageMetric.h.

template<class TFixedImage , class TMovingImage >
typedef BSplineDeformableTransform< CoordinateRepresentationType, ::itk::GetImageDimension<FixedImageType>::ImageDimension, itkGetStaticConstMacro(DeformationSplineOrder) > itk::ImageToImageMetric< TFixedImage, TMovingImage >::BSplineTransformType [protected, inherited]

Definition at line 450 of file itkOptImageToImageMetric.h.

template<class TFixedImage , class TMovingImage >
typedef Array2D<WeightsValueType> itk::ImageToImageMetric< TFixedImage, TMovingImage >::BSplineTransformWeightsArrayType [protected, inherited]

Definition at line 454 of file itkOptImageToImageMetric.h.

template<class TFixedImage , class TMovingImage >
typedef BSplineTransformType::WeightsType itk::ImageToImageMetric< TFixedImage, TMovingImage >::BSplineTransformWeightsType [protected, inherited]
template<class TFixedImage , class TMovingImage >
typedef SmartPointer<const Self> itk::KullbackLeiblerCompareHistogramImageToImageMetric< TFixedImage, TMovingImage >::ConstPointer
template<class TFixedImage , class TMovingImage >
typedef Superclass::ParametersValueType itk::ImageToImageMetric< TFixedImage, TMovingImage >::CoordinateRepresentationType [inherited]
template<class TFixedImage , class TMovingImage >
typedef Superclass::ParametersValueType itk::ImageToImageMetric< TFixedImage, TMovingImage >::CoordinateRepresentationType [inherited]
template<class TFixedImage , class TMovingImage >
typedef CentralDifferenceImageFunction<MovingImageType, CoordinateRepresentationType> itk::ImageToImageMetric< TFixedImage, TMovingImage >::DerivativeFunctionType [protected, inherited]

Typedefs for using central difference calculator.

Definition at line 478 of file itkOptImageToImageMetric.h.

template<class TFixedImage , class TMovingImage >
typedef Superclass::DerivativeType itk::KullbackLeiblerCompareHistogramImageToImageMetric< TFixedImage, TMovingImage >::DerivativeType
template<class TFixedImage , class TMovingImage >
typedef Superclass::FixedImageConstPointer itk::KullbackLeiblerCompareHistogramImageToImageMetric< TFixedImage, TMovingImage >::FixedImageConstPointer
template<class TFixedImage , class TMovingImage >
typedef Superclass::FixedImageConstPointer itk::HistogramImageToImageMetric< TFixedImage, TMovingImage >::FixedImageConstPointerType [inherited]

Definition at line 67 of file itkHistogramImageToImageMetric.h.

template<class TFixedImage , class TMovingImage >
typedef std::vector<FixedImageIndexType> itk::ImageToImageMetric< TFixedImage, TMovingImage >::FixedImageIndexContainer [inherited]

Definition at line 113 of file itkOptImageToImageMetric.h.

template<class TFixedImage , class TMovingImage >
typedef FixedImageType::IndexType itk::ImageToImageMetric< TFixedImage, TMovingImage >::FixedImageIndexType [inherited]
template<class TFixedImage , class TMovingImage >
typedef FixedImageIndexType::IndexValueType itk::ImageToImageMetric< TFixedImage, TMovingImage >::FixedImageIndexValueType [inherited]
template<class TFixedImage , class TMovingImage >
typedef FixedImageMaskType::ConstPointer itk::ImageToImageMetric< TFixedImage, TMovingImage >::FixedImageMaskConstPointer [inherited]

Definition at line 137 of file itkImageToImageMetric.h.

template<class TFixedImage , class TMovingImage >
typedef FixedImageMaskType::ConstPointer itk::ImageToImageMetric< TFixedImage, TMovingImage >::FixedImageMaskConstPointer [inherited]

Definition at line 145 of file itkOptImageToImageMetric.h.

template<class TFixedImage , class TMovingImage >
typedef FixedImageMaskType::Pointer itk::ImageToImageMetric< TFixedImage, TMovingImage >::FixedImageMaskPointer [inherited]

Definition at line 136 of file itkImageToImageMetric.h.

template<class TFixedImage , class TMovingImage >
typedef FixedImageMaskType::Pointer itk::ImageToImageMetric< TFixedImage, TMovingImage >::FixedImageMaskPointer [inherited]

Definition at line 144 of file itkOptImageToImageMetric.h.

template<class TFixedImage , class TMovingImage >
typedef SpatialObject< itkGetStaticConstMacro(FixedImageDimension) > itk::ImageToImageMetric< TFixedImage, TMovingImage >::FixedImageMaskType [inherited]

Type for the mask of the fixed image. Only pixels that are "inside" this mask will be considered for the computation of the metric

Definition at line 135 of file itkImageToImageMetric.h.

template<class TFixedImage , class TMovingImage >
typedef SpatialObject< itkGetStaticConstMacro(FixedImageDimension) > itk::ImageToImageMetric< TFixedImage, TMovingImage >::FixedImageMaskType [inherited]

Type for the mask of the fixed image. Only pixels that are "inside" this mask will be considered for the computation of the metric

Definition at line 143 of file itkOptImageToImageMetric.h.

template<class TFixedImage , class TMovingImage >
typedef Superclass::FixedImageType::PixelType itk::HistogramImageToImageMetric< TFixedImage, TMovingImage >::FixedImagePixelType [inherited]
template<class TFixedImage , class TMovingImage >
typedef TransformType::InputPointType itk::ImageToImageMetric< TFixedImage, TMovingImage >::FixedImagePointType [inherited]
template<class TFixedImage , class TMovingImage >
typedef Superclass::FixedImageRegionType itk::CompareHistogramImageToImageMetric< TFixedImage, TMovingImage >::FixedImageRegionType [inherited]
template<class TFixedImage , class TMovingImage >
typedef std::vector<FixedImageSamplePoint> itk::ImageToImageMetric< TFixedImage, TMovingImage >::FixedImageSampleContainer [protected, inherited]
template<class TFixedImage , class TMovingImage >
typedef Superclass::FixedImageType itk::KullbackLeiblerCompareHistogramImageToImageMetric< TFixedImage, TMovingImage >::FixedImageType
template<class TFixedImage , class TMovingImage >
typedef GradientImageFilterType::Pointer itk::ImageToImageMetric< TFixedImage, TMovingImage >::GradientImageFilterPointer [inherited]

Gaussian filter to compute the gradient of the Moving Image

Definition at line 125 of file itkImageToImageMetric.h.

template<class TFixedImage , class TMovingImage >
typedef GradientImageFilterType::Pointer itk::ImageToImageMetric< TFixedImage, TMovingImage >::GradientImageFilterPointer [inherited]

Gaussian filter to compute the gradient of the Moving Image

Definition at line 133 of file itkOptImageToImageMetric.h.

template<class TFixedImage , class TMovingImage >
typedef GradientRecursiveGaussianImageFilter< MovingImageType, GradientImageType > itk::ImageToImageMetric< TFixedImage, TMovingImage >::GradientImageFilterType [inherited]

Gaussian filter to compute the gradient of the Moving Image

Definition at line 132 of file itkOptImageToImageMetric.h.

template<class TFixedImage , class TMovingImage >
typedef GradientRecursiveGaussianImageFilter< MovingImageType, GradientImageType > itk::ImageToImageMetric< TFixedImage, TMovingImage >::GradientImageFilterType [inherited]

Gaussian filter to compute the gradient of the Moving Image

Definition at line 124 of file itkImageToImageMetric.h.

template<class TFixedImage , class TMovingImage >
typedef SmartPointer<GradientImageType> itk::ImageToImageMetric< TFixedImage, TMovingImage >::GradientImagePointer [inherited]

Gaussian filter to compute the gradient of the Moving Image

Definition at line 121 of file itkImageToImageMetric.h.

template<class TFixedImage , class TMovingImage >
typedef SmartPointer<GradientImageType> itk::ImageToImageMetric< TFixedImage, TMovingImage >::GradientImagePointer [inherited]

Gaussian filter to compute the gradient of the Moving Image

Definition at line 129 of file itkOptImageToImageMetric.h.

template<class TFixedImage , class TMovingImage >
typedef Image<GradientPixelType, itkGetStaticConstMacro(MovingImageDimension)> itk::ImageToImageMetric< TFixedImage, TMovingImage >::GradientImageType [inherited]

Gaussian filter to compute the gradient of the Moving Image

Reimplemented in itk::KappaStatisticImageToImageMetric< TFixedImage, TMovingImage >, and itk::MeanSquaresImageToImageMetric< TFixedImage, TMovingImage >.

Definition at line 120 of file itkImageToImageMetric.h.

template<class TFixedImage , class TMovingImage >
typedef Image<GradientPixelType, itkGetStaticConstMacro(MovingImageDimension)> itk::ImageToImageMetric< TFixedImage, TMovingImage >::GradientImageType [inherited]

Gaussian filter to compute the gradient of the Moving Image

Reimplemented in itk::KappaStatisticImageToImageMetric< TFixedImage, TMovingImage >, and itk::MeanSquaresImageToImageMetric< TFixedImage, TMovingImage >.

Definition at line 128 of file itkOptImageToImageMetric.h.

template<class TFixedImage , class TMovingImage >
typedef Superclass::GradientPixelType itk::KullbackLeiblerCompareHistogramImageToImageMetric< TFixedImage, TMovingImage >::GradientPixelType

Gaussian filter to compute the gradient of the Moving Image

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

Definition at line 96 of file itkKullbackLeiblerCompareHistogramImageToImageMetric.h.

template<class TFixedImage , class TMovingImage >
typedef HistogramType::FrequencyType itk::CompareHistogramImageToImageMetric< TFixedImage, TMovingImage >::HistogramAbsoluteFrequencyType [inherited]

Definition at line 93 of file itkCompareHistogramImageToImageMetric.h.

template<class TFixedImage , class TMovingImage >
typedef Superclass::HistogramFrequencyType itk::KullbackLeiblerCompareHistogramImageToImageMetric< TFixedImage, TMovingImage >::HistogramFrequencyType
template<class TFixedImage , class TMovingImage >
typedef Superclass::HistogramIteratorType itk::KullbackLeiblerCompareHistogramImageToImageMetric< TFixedImage, TMovingImage >::HistogramIteratorType
template<class TFixedImage , class TMovingImage >
typedef Superclass::MeasurementVectorType itk::KullbackLeiblerCompareHistogramImageToImageMetric< TFixedImage, TMovingImage >::HistogramMeasurementVectorType
template<class TFixedImage , class TMovingImage >
typedef HistogramType::Pointer itk::HistogramImageToImageMetric< TFixedImage, TMovingImage >::HistogramPointer [inherited]

Definition at line 82 of file itkHistogramImageToImageMetric.h.

template<class TFixedImage , class TMovingImage >
typedef Superclass::HistogramPointerType itk::KullbackLeiblerCompareHistogramImageToImageMetric< TFixedImage, TMovingImage >::HistogramPointerType
template<class TFixedImage , class TMovingImage >
typedef Superclass::HistogramSizeType itk::KullbackLeiblerCompareHistogramImageToImageMetric< TFixedImage, TMovingImage >::HistogramSizeType
template<class TFixedImage , class TMovingImage >
typedef Superclass::HistogramType itk::KullbackLeiblerCompareHistogramImageToImageMetric< TFixedImage, TMovingImage >::HistogramType

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.

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

Definition at line 106 of file itkKullbackLeiblerCompareHistogramImageToImageMetric.h.

template<class TFixedImage , class TMovingImage >
typedef CovariantVector< double, itkGetStaticConstMacro(MovingImageDimension) > itk::ImageToImageMetric< TFixedImage, TMovingImage >::ImageDerivativesType [protected, inherited]
template<class TFixedImage , class TMovingImage >
typedef BSplineTransformIndexArrayType::ValueType itk::ImageToImageMetric< TFixedImage, TMovingImage >::IndexValueType [protected, inherited]
template<class TFixedImage , class TMovingImage >
typedef Superclass::InputPointType itk::HistogramImageToImageMetric< TFixedImage, TMovingImage >::InputPointType [inherited]
typedef int itk::LightObject::InternalReferenceCountType [protected, inherited]

Define the type of the reference count according to the target. This allows the use of atomic operations

Definition at line 139 of file itkLightObject.h.

template<class TFixedImage , class TMovingImage >
typedef Superclass::InterpolatorPointer itk::KullbackLeiblerCompareHistogramImageToImageMetric< TFixedImage, TMovingImage >::InterpolatorPointer
template<class TFixedImage , class TMovingImage >
typedef Superclass::InterpolatorType itk::KullbackLeiblerCompareHistogramImageToImageMetric< TFixedImage, TMovingImage >::InterpolatorType

Type of the Interpolator Base class

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

Definition at line 114 of file itkKullbackLeiblerCompareHistogramImageToImageMetric.h.

template<class TFixedImage , class TMovingImage >
typedef HistogramType::MeasurementVectorType itk::HistogramImageToImageMetric< TFixedImage, TMovingImage >::MeasurementVectorType [inherited]

Definition at line 80 of file itkHistogramImageToImageMetric.h.

template<class TFixedImage , class TMovingImage >
typedef Superclass::MeasureType itk::KullbackLeiblerCompareHistogramImageToImageMetric< TFixedImage, TMovingImage >::MeasureType
template<class TFixedImage , class TMovingImage >
typedef Superclass::MovingImageConstPointer itk::KullbackLeiblerCompareHistogramImageToImageMetric< TFixedImage, TMovingImage >::MovingImageConstPointer
template<class TFixedImage , class TMovingImage >
typedef Superclass::MovingImageConstPointer itk::HistogramImageToImageMetric< TFixedImage, TMovingImage >::MovingImageConstPointerType [inherited]

Definition at line 69 of file itkHistogramImageToImageMetric.h.

template<class TFixedImage , class TMovingImage >
typedef MovingImageType::IndexType itk::ImageToImageMetric< TFixedImage, TMovingImage >::MovingImageIndexType [inherited]
template<class TFixedImage , class TMovingImage >
typedef MovingImageMaskType::ConstPointer itk::ImageToImageMetric< TFixedImage, TMovingImage >::MovingImageMaskConstPointer [inherited]

Definition at line 145 of file itkImageToImageMetric.h.

template<class TFixedImage , class TMovingImage >
typedef MovingImageMaskType::ConstPointer itk::ImageToImageMetric< TFixedImage, TMovingImage >::MovingImageMaskConstPointer [inherited]

Definition at line 152 of file itkOptImageToImageMetric.h.

template<class TFixedImage , class TMovingImage >
typedef MovingImageMaskType::Pointer itk::ImageToImageMetric< TFixedImage, TMovingImage >::MovingImageMaskPointer [inherited]

Definition at line 144 of file itkImageToImageMetric.h.

template<class TFixedImage , class TMovingImage >
typedef MovingImageMaskType::Pointer itk::ImageToImageMetric< TFixedImage, TMovingImage >::MovingImageMaskPointer [inherited]

Definition at line 151 of file itkOptImageToImageMetric.h.

template<class TFixedImage , class TMovingImage >
typedef SpatialObject< itkGetStaticConstMacro(MovingImageDimension) > itk::ImageToImageMetric< TFixedImage, TMovingImage >::MovingImageMaskType [inherited]

Type for the mask of the moving image. Only pixels that are "inside" this mask will be considered for the computation of the metric

Definition at line 143 of file itkImageToImageMetric.h.

template<class TFixedImage , class TMovingImage >
typedef SpatialObject< itkGetStaticConstMacro(MovingImageDimension) > itk::ImageToImageMetric< TFixedImage, TMovingImage >::MovingImageMaskType [inherited]

Type for the mask of the moving image. Only pixels that are "inside" this mask will be considered for the computation of the metric

Definition at line 150 of file itkOptImageToImageMetric.h.

template<class TFixedImage , class TMovingImage >
typedef Superclass::MovingImageType::PixelType itk::HistogramImageToImageMetric< TFixedImage, TMovingImage >::MovingImagePixelType [inherited]
template<class TFixedImage , class TMovingImage >
typedef std::vector<MovingImagePointType> itk::ImageToImageMetric< TFixedImage, TMovingImage >::MovingImagePointArrayType [protected, inherited]

Definition at line 461 of file itkOptImageToImageMetric.h.

template<class TFixedImage , class TMovingImage >
typedef TransformType::OutputPointType itk::ImageToImageMetric< TFixedImage, TMovingImage >::MovingImagePointType [inherited]
template<class TFixedImage , class TMovingImage >
typedef Superclass::MovingImageType itk::KullbackLeiblerCompareHistogramImageToImageMetric< TFixedImage, TMovingImage >::MovingImageType
template<class TFixedImage , class TMovingImage >
typedef MultiThreader itk::ImageToImageMetric< TFixedImage, TMovingImage >::MultiThreaderType [inherited]

Definition at line 335 of file itkOptImageToImageMetric.h.

template<class TFixedImage , class TMovingImage >
typedef Superclass::OutputPointType itk::HistogramImageToImageMetric< TFixedImage, TMovingImage >::OutputPointType [inherited]
template<class TFixedImage , class TMovingImage >
typedef Superclass::ParametersType itk::ImageToImageMetric< TFixedImage, TMovingImage >::ParametersType [inherited]
template<class TFixedImage , class TMovingImage >
typedef Superclass::ParametersType itk::ImageToImageMetric< TFixedImage, TMovingImage >::ParametersType [inherited]
typedef double itk::CostFunction::ParametersValueType [inherited]

ParametersType typedef. It defines a position in the optimization search space.

Definition at line 46 of file itkCostFunction.h.

template<class TFixedImage , class TMovingImage >
typedef SmartPointer<Self> itk::KullbackLeiblerCompareHistogramImageToImageMetric< TFixedImage, TMovingImage >::Pointer
template<class TFixedImage , class TMovingImage >
typedef Superclass::RealType itk::KullbackLeiblerCompareHistogramImageToImageMetric< TFixedImage, TMovingImage >::RealType

Types transferred from the base class

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

Definition at line 86 of file itkKullbackLeiblerCompareHistogramImageToImageMetric.h.

template<class TFixedImage , class TMovingImage >
typedef Array<double> itk::HistogramImageToImageMetric< TFixedImage, TMovingImage >::ScalesType [inherited]

The scales type.

Definition at line 126 of file itkHistogramImageToImageMetric.h.

template<class TFixedImage , class TMovingImage >
typedef KullbackLeiblerCompareHistogramImageToImageMetric itk::KullbackLeiblerCompareHistogramImageToImageMetric< TFixedImage, TMovingImage >::Self
template<class TFixedImage , class TMovingImage >
typedef CompareHistogramImageToImageMetric<TFixedImage, TMovingImage> itk::KullbackLeiblerCompareHistogramImageToImageMetric< TFixedImage, TMovingImage >::Superclass
template<class TFixedImage , class TMovingImage >
typedef Superclass::ConstPointer itk::KullbackLeiblerCompareHistogramImageToImageMetric< TFixedImage, TMovingImage >::TransformConstPointer
template<class TFixedImage , class TMovingImage >
typedef Superclass::TransformJacobianType itk::KullbackLeiblerCompareHistogramImageToImageMetric< TFixedImage, TMovingImage >::TransformJacobianType
template<class TFixedImage , class TMovingImage >
typedef Superclass::TransformParametersType itk::KullbackLeiblerCompareHistogramImageToImageMetric< TFixedImage, TMovingImage >::TransformParametersType
template<class TFixedImage , class TMovingImage >
typedef Superclass::TransformPointer itk::KullbackLeiblerCompareHistogramImageToImageMetric< TFixedImage, TMovingImage >::TransformPointer
template<class TFixedImage , class TMovingImage >
typedef Superclass::TransformType itk::KullbackLeiblerCompareHistogramImageToImageMetric< TFixedImage, TMovingImage >::TransformType
template<class TFixedImage , class TMovingImage >
typedef BSplineTransformWeightsType::ValueType itk::ImageToImageMetric< TFixedImage, TMovingImage >::WeightsValueType [protected, inherited]

Constructor & Destructor Documentation

template<class TFixedImage , class TMovingImage >
itk::KullbackLeiblerCompareHistogramImageToImageMetric< TFixedImage, TMovingImage >::KullbackLeiblerCompareHistogramImageToImageMetric (  )  [protected]

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

template<class TFixedImage , class TMovingImage >
virtual itk::KullbackLeiblerCompareHistogramImageToImageMetric< TFixedImage, TMovingImage >::~KullbackLeiblerCompareHistogramImageToImageMetric (  )  [inline, protected, virtual]

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

Definition at line 136 of file itkKullbackLeiblerCompareHistogramImageToImageMetric.h.


Member Function Documentation

unsigned long itk::Object::AddObserver ( const EventObject event,
Command  
) [inherited]

Allow people to add/remove/invoke observers (callbacks) to any ITK object. This is an implementation of the subject/observer design pattern. An observer is added by specifying an event to respond to and an itk::Command to execute. It returns an unsigned long tag which can be used later to remove the event or retrieve the command. The memory for the Command becomes the responsibility of this object, so don't pass the same instance of a command to two different objects

unsigned long itk::Object::AddObserver ( const EventObject event,
Command  
) const [inherited]

Allow people to add/remove/invoke observers (callbacks) to any ITK object. This is an implementation of the subject/observer design pattern. An observer is added by specifying an event to respond to and an itk::Command to execute. It returns an unsigned long tag which can be used later to remove the event or retrieve the command. The memory for the Command becomes the responsibility of this object, so don't pass the same instance of a command to two different objects

static void itk::LightObject::BreakOnError (  )  [static, inherited]

This method is called when itkExceptionMacro executes. It allows the debugger to break on error.

template<class TFixedImage , class TMovingImage >
virtual void itk::ImageToImageMetric< TFixedImage, TMovingImage >::ComputeGradient ( void   )  [virtual, inherited]

Computes the gradient image and assigns it to m_GradientImage

Reimplemented in itk::KappaStatisticImageToImageMetric< TFixedImage, TMovingImage >.

template<class TFixedImage , class TMovingImage >
virtual void itk::ImageToImageMetric< TFixedImage, TMovingImage >::ComputeGradient (  )  [virtual, inherited]

Computes the gradient image and assigns it to m_GradientImage

Reimplemented in itk::KappaStatisticImageToImageMetric< TFixedImage, TMovingImage >.

template<class TFixedImage , class TMovingImage >
virtual void itk::ImageToImageMetric< TFixedImage, TMovingImage >::ComputeGradientOff (  )  [virtual, inherited]

Set/Get gradient computation.

template<class TFixedImage , class TMovingImage >
virtual void itk::ImageToImageMetric< TFixedImage, TMovingImage >::ComputeGradientOff (  )  [virtual, inherited]

Set/Get gradient computation.

template<class TFixedImage , class TMovingImage >
virtual void itk::ImageToImageMetric< TFixedImage, TMovingImage >::ComputeGradientOn (  )  [virtual, inherited]

Set/Get gradient computation.

template<class TFixedImage , class TMovingImage >
virtual void itk::ImageToImageMetric< TFixedImage, TMovingImage >::ComputeGradientOn (  )  [virtual, inherited]

Set/Get gradient computation.

template<class TFixedImage , class TMovingImage >
void itk::HistogramImageToImageMetric< TFixedImage, TMovingImage >::ComputeHistogram ( const TransformParametersType parameters,
HistogramType histogram 
) const [protected, inherited]

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

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

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

template<class TFixedImage , class TMovingImage >
virtual void itk::ImageToImageMetric< TFixedImage, TMovingImage >::ComputeImageDerivatives ( const MovingImagePointType mappedPoint,
ImageDerivativesType gradient,
unsigned int  threadID 
) const [protected, virtual, inherited]

Compute image derivatives at a point.

template<class TFixedImage , class TMovingImage >
void itk::HistogramImageToImageMetric< TFixedImage, TMovingImage >::CopyHistogram ( HistogramType target,
HistogramType source 
) const [protected, inherited]

Copies a histogram.

virtual LightObject::Pointer itk::Object::CreateAnother (  )  const [virtual, inherited]
virtual void itk::Object::DebugOff (  )  const [virtual, inherited]

Turn debugging output off.

virtual void itk::Object::DebugOn (  )  const [virtual, inherited]

Turn debugging output on.

virtual void itk::LightObject::Delete (  )  [virtual, inherited]

Delete an itk object. This method should always be used to delete an object when the new operator was used to create it. Using the C delete method will not work with reference counting.

template<class TFixedImage , class TMovingImage >
virtual MeasureType itk::KullbackLeiblerCompareHistogramImageToImageMetric< TFixedImage, TMovingImage >::EvaluateMeasure ( HistogramType histogram  )  const [protected, virtual]

Evaluates the mutual information from the histogram.

Implements itk::CompareHistogramImageToImageMetric< TFixedImage, TMovingImage >.

template<class TFixedImage , class TMovingImage >
void itk::KullbackLeiblerCompareHistogramImageToImageMetric< TFixedImage, TMovingImage >::FormTrainingHistogram (  )  throw (ExceptionObject) [protected]

Form the Histogram for the Training data

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

Command* itk::Object::GetCommand ( unsigned long  tag  )  [inherited]

Get the command associated with the given tag. NOTE: This returns a pointer to a Command, but it is safe to asign this to a Command::Pointer. Since Command inherits from LightObject, at this point in the code, only a pointer or a reference to the Command can be used.

template<class TFixedImage , class TMovingImage >
virtual const bool& itk::ImageToImageMetric< TFixedImage, TMovingImage >::GetComputeGradient (  )  [virtual, inherited]

Set/Get gradient computation.

template<class TFixedImage , class TMovingImage >
virtual const bool& itk::ImageToImageMetric< TFixedImage, TMovingImage >::GetComputeGradient (  )  [virtual, inherited]

Set/Get gradient computation.

bool itk::Object::GetDebug (  )  const [inherited]

Get the value of the debug flag.

template<class TFixedImage , class TMovingImage >
void itk::HistogramImageToImageMetric< TFixedImage, TMovingImage >::GetDerivative ( const TransformParametersType parameters,
DerivativeType derivative 
) const [inherited]

Get the derivatives of the match measure.

virtual void itk::SingleValuedCostFunction::GetDerivative ( const ParametersType parameters,
DerivativeType derivative 
) const [pure virtual, inherited]

This method returns the derivative of the cost function corresponding to the specified parameters.

Implemented in itk::Statistics::GoodnessOfFitMixtureModelCostFunction< TInputSample >.

template<class TFixedImage , class TMovingImage >
virtual double itk::HistogramImageToImageMetric< TFixedImage, TMovingImage >::GetDerivativeStepLength (  )  const [virtual, inherited]

Returns the step length used to calculate the derivative.

template<class TFixedImage , class TMovingImage >
virtual const ScalesType& itk::HistogramImageToImageMetric< TFixedImage, TMovingImage >::GetDerivativeStepLengthScales (  )  [virtual, inherited]

Returns the derivate step length scales.

template<class TFixedImage , class TMovingImage >
virtual const double& itk::KullbackLeiblerCompareHistogramImageToImageMetric< TFixedImage, TMovingImage >::GetEpsilon (  )  [virtual]

Get epsilon, the histogram frequency to use if the frequency is 0

template<class TFixedImage , class TMovingImage >
virtual const FixedImageType* itk::ImageToImageMetric< TFixedImage, TMovingImage >::GetFixedImage (  )  [virtual, inherited]

Get the Fixed Image.

template<class TFixedImage , class TMovingImage >
virtual const FixedImageType* itk::ImageToImageMetric< TFixedImage, TMovingImage >::GetFixedImage (  )  [virtual, inherited]

Get the Fixed Image.

template<class TFixedImage , class TMovingImage >
virtual const FixedImageMaskType* itk::ImageToImageMetric< TFixedImage, TMovingImage >::GetFixedImageMask (  )  [virtual, inherited]

Set/Get the fixed image mask.

template<class TFixedImage , class TMovingImage >
virtual const FixedImageMaskType* itk::ImageToImageMetric< TFixedImage, TMovingImage >::GetFixedImageMask (  )  [virtual, inherited]

Set/Get the fixed image mask.

template<class TFixedImage , class TMovingImage >
virtual const FixedImageRegionType& itk::ImageToImageMetric< TFixedImage, TMovingImage >::GetFixedImageRegion (  )  [virtual, inherited]

Get the region over which the metric will be computed

template<class TFixedImage , class TMovingImage >
virtual const FixedImageRegionType& itk::ImageToImageMetric< TFixedImage, TMovingImage >::GetFixedImageRegion (  )  [virtual, inherited]

Get the region over which the metric will be computed

template<class TFixedImage , class TMovingImage >
virtual const FixedImagePixelType& itk::ImageToImageMetric< TFixedImage, TMovingImage >::GetFixedImageSamplesIntensityThreshold (  )  [virtual, inherited]

Minimum fixed-image intensity needed for a sample to be used in the metric computation

static bool itk::Object::GetGlobalWarningDisplay (  )  [static, inherited]

This is a global flag that controls whether any debug, warning or error messages are displayed.

template<class TFixedImage , class TMovingImage >
virtual const GradientImageType* itk::ImageToImageMetric< TFixedImage, TMovingImage >::GetGradientImage (  )  [virtual, inherited]

Get Gradient Image.

template<class TFixedImage , class TMovingImage >
virtual const GradientImageType* itk::ImageToImageMetric< TFixedImage, TMovingImage >::GetGradientImage (  )  [virtual, inherited]

Get Gradient Image.

template<class TFixedImage , class TMovingImage >
virtual const HistogramPointer& itk::HistogramImageToImageMetric< TFixedImage, TMovingImage >::GetHistogram (  )  [virtual, inherited]

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<class TFixedImage , class TMovingImage >
virtual const HistogramSizeType& itk::HistogramImageToImageMetric< TFixedImage, TMovingImage >::GetHistogramSize (  )  [virtual, inherited]

Gets the histogram size.

template<class TFixedImage , class TMovingImage >
virtual const InterpolatorType* itk::ImageToImageMetric< TFixedImage, TMovingImage >::GetInterpolator (  )  [virtual, inherited]

Get a pointer to the Interpolator.

template<class TFixedImage , class TMovingImage >
virtual const InterpolatorType* itk::ImageToImageMetric< TFixedImage, TMovingImage >::GetInterpolator (  )  [virtual, inherited]

Get a pointer to the Interpolator.

MetaDataDictionary& itk::Object::GetMetaDataDictionary ( void   )  [inherited]
Returns:
A reference to this objects MetaDataDictionary.
Warning:
This reference may be changed.
const MetaDataDictionary& itk::Object::GetMetaDataDictionary ( void   )  const [inherited]
Returns:
A constant reference to this objects MetaDataDictionary.
template<class TFixedImage , class TMovingImage >
virtual const MovingImageType* itk::ImageToImageMetric< TFixedImage, TMovingImage >::GetMovingImage (  )  [virtual, inherited]

Get the Moving Image.

template<class TFixedImage , class TMovingImage >
virtual const MovingImageType* itk::ImageToImageMetric< TFixedImage, TMovingImage >::GetMovingImage (  )  [virtual, inherited]

Get the Moving Image.

template<class TFixedImage , class TMovingImage >
virtual const MovingImageMaskType* itk::ImageToImageMetric< TFixedImage, TMovingImage >::GetMovingImageMask (  )  [virtual, inherited]

Set/Get the moving image mask.

template<class TFixedImage , class TMovingImage >
virtual const MovingImageMaskType* itk::ImageToImageMetric< TFixedImage, TMovingImage >::GetMovingImageMask (  )  [virtual, inherited]

Set/Get the moving image mask.

virtual unsigned long itk::Object::GetMTime (  )  const [virtual, inherited]

Return this objects modified time.

Reimplemented in itk::ImageRegistrationMethod< TFixedImage, TMovingImage >, itk::ImageToSpatialObjectRegistrationMethod< TFixedImage, TMovingSpatialObject >, itk::MultiResolutionImageRegistrationMethod< TFixedImage, TMovingImage >, itk::PointSetToImageRegistrationMethod< TFixedPointSet, TMovingImage >, itk::PointSetToPointSetRegistrationMethod< TFixedPointSet, TMovingPointSet >, itk::DeformationFieldSource< TOutputImage >, itk::InverseDeformationFieldImageFilter< TInputImage, TOutputImage >, itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType >, itk::VectorResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType >, itk::BoundingBox< TPointIdentifier, VPointDimension, TCoordRep, TPointsContainer >, itk::ImageAdaptor< TImage, TAccessor >, itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType >, itk::TransformToDeformationFieldSource< TOutputImage, TTransformPrecisionType >, itk::ImageSpatialObject< TDimension, TPixelType >, itk::MeshSpatialObject< TMesh >, itk::SceneSpatialObject< TSpaceDimension >, itk::SpatialObject< TDimension >, itk::ImageAdaptor< TImage, Accessor::AsinPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::SqrtPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::TanPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::CosPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::VectorToRGBPixelAccessor< TImage::PixelType::ValueType > >, itk::ImageAdaptor< TImage, Accessor::RGBToVectorPixelAccessor< TImage::PixelType::ComponentType > >, itk::ImageAdaptor< TImage, Accessor::ComplexToModulusPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::AbsPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::SinPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::LogPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::ComplexToPhasePixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< VectorImage< TPixelType, Dimension >, Accessor::VectorImageToImagePixelAccessor< TPixelType > >, itk::ImageAdaptor< TImage, Accessor::Log10PixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::AtanPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::ComplexToRealPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::ComplexToImaginaryPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::ExpNegativePixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::ExpPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::AcosPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::RGBToLuminancePixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::AddPixelAccessor< TImage::PixelType > >, itk::ImageSpatialObject< TDimension, unsigned char >, itk::SpatialObject< 3 >, and itk::SpatialObject< ::itk::GetMeshDimension< TMesh >::PointDimension >.

Referenced by itk::SpatialObject< ::itk::GetMeshDimension< TMesh >::PointDimension >::GetObjectMTime().

template<class TFixedImage , class TMovingImage >
virtual const char* itk::KullbackLeiblerCompareHistogramImageToImageMetric< TFixedImage, TMovingImage >::GetNameOfClass (  )  const [virtual]

Run-time type information (and related methods).

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

template<class TFixedImage , class TMovingImage >
virtual const unsigned long& itk::ImageToImageMetric< TFixedImage, TMovingImage >::GetNumberOfFixedImageSamples (  )  [virtual, inherited]

Number of spatial samples to used to compute metric This sets the number of samples.

template<class TFixedImage , class TMovingImage >
unsigned long itk::ImageToImageMetric< TFixedImage, TMovingImage >::GetNumberOfMovingImageSamples ( void   )  [inline, inherited]

Get the number of pixels considered in the computation.

Definition at line 189 of file itkOptImageToImageMetric.h.

template<class TFixedImage , class TMovingImage >
unsigned int itk::KullbackLeiblerCompareHistogramImageToImageMetric< TFixedImage, TMovingImage >::GetNumberOfParameters ( void   )  const [inline, virtual]

Return the number of parameters required by the Transform

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

Definition at line 124 of file itkKullbackLeiblerCompareHistogramImageToImageMetric.h.

template<class TFixedImage , class TMovingImage >
virtual const unsigned long& itk::ImageToImageMetric< TFixedImage, TMovingImage >::GetNumberOfPixelsCounted (  )  [virtual, inherited]

Get the number of pixels considered in the computation.

template<class TFixedImage , class TMovingImage >
virtual const unsigned long& itk::ImageToImageMetric< TFixedImage, TMovingImage >::GetNumberOfPixelsCounted (  )  [virtual, inherited]

Get the number of pixels considered in the computation.

template<class TFixedImage , class TMovingImage >
unsigned long itk::ImageToImageMetric< TFixedImage, TMovingImage >::GetNumberOfSpatialSamples ( void   )  [inline, inherited]

Number of spatial samples to used to compute metric This sets the number of samples.

Reimplemented in itk::MattesMutualInformationImageToImageMetric< TFixedImage, TMovingImage >, and itk::MutualInformationImageToImageMetric< TFixedImage, TMovingImage >.

Definition at line 266 of file itkOptImageToImageMetric.h.

template<class TFixedImage , class TMovingImage >
virtual const unsigned int& itk::ImageToImageMetric< TFixedImage, TMovingImage >::GetNumberOfThreads (  )  [virtual, inherited]

Set/Get number of threads to use for computations.

Reimplemented in itk::MatchCardinalityImageToImageMetric< TFixedImage, TMovingImage >.

template<class TFixedImage , class TMovingImage >
virtual const FixedImagePixelType& itk::HistogramImageToImageMetric< TFixedImage, TMovingImage >::GetPaddingValue (  )  [virtual, inherited]

Returns the padding value.

virtual int itk::LightObject::GetReferenceCount (  )  const [inline, virtual, inherited]

Gets the reference count on this object.

Definition at line 106 of file itkLightObject.h.

template<class TFixedImage , class TMovingImage >
virtual const MultiThreaderType* itk::ImageToImageMetric< TFixedImage, TMovingImage >::GetThreader (  )  [virtual, inherited]

Get the Threader.

template<class TFixedImage , class TMovingImage >
const TransformPointer* itk::ImageToImageMetric< TFixedImage, TMovingImage >::GetThreaderTransform (  )  [inline, inherited]

Get the Threader.

Definition at line 341 of file itkOptImageToImageMetric.h.

template<class TFixedImage , class TMovingImage >
virtual const FixedImageType* itk::CompareHistogramImageToImageMetric< TFixedImage, TMovingImage >::GetTrainingFixedImage (  )  [virtual, inherited]

Get the Training Fixed Image.

template<class TFixedImage , class TMovingImage >
virtual const FixedImageRegionType& itk::CompareHistogramImageToImageMetric< TFixedImage, TMovingImage >::GetTrainingFixedImageRegion (  )  [virtual, inherited]

Get the region over which the training histogram will be computed

template<class TFixedImage , class TMovingImage >
virtual const HistogramPointerType& itk::CompareHistogramImageToImageMetric< TFixedImage, TMovingImage >::GetTrainingHistogram (  )  [virtual, inherited]

Get the histogram to be used in the metric calculation

template<class TFixedImage , class TMovingImage >
virtual InterpolatorType* itk::CompareHistogramImageToImageMetric< TFixedImage, TMovingImage >::GetTrainingInterpolator (  )  [virtual, inherited]

Get a pointer to the Interpolator.

template<class TFixedImage , class TMovingImage >
virtual const MovingImageType* itk::CompareHistogramImageToImageMetric< TFixedImage, TMovingImage >::GetTrainingMovingImage (  )  [virtual, inherited]

Get the Training Moving Image.

template<class TFixedImage , class TMovingImage >
virtual TransformType* itk::CompareHistogramImageToImageMetric< TFixedImage, TMovingImage >::GetTrainingTransform (  )  [virtual, inherited]

Get a pointer to the Transform.

template<class TFixedImage , class TMovingImage >
virtual const TransformType* itk::ImageToImageMetric< TFixedImage, TMovingImage >::GetTransform (  )  [virtual, inherited]

Get a pointer to the Transform.

template<class TFixedImage , class TMovingImage >
virtual const TransformType* itk::ImageToImageMetric< TFixedImage, TMovingImage >::GetTransform (  )  [virtual, inherited]

Get a pointer to the Transform.

template<class TFixedImage , class TMovingImage >
virtual double itk::HistogramImageToImageMetric< TFixedImage, TMovingImage >::GetUpperBoundIncreaseFactor (  )  const [virtual, inherited]

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

template<class TFixedImage , class TMovingImage >
virtual const bool& itk::ImageToImageMetric< TFixedImage, TMovingImage >::GetUseAllPixels (  )  [virtual, inherited]

Select whether the metric will be computed using all the pixels on the fixed image region, or only using a set of randomly selected pixels. This value override IntensityThreshold, Masks, and SequentialSampling.

Reimplemented in itk::MattesMutualInformationImageToImageMetric< TFixedImage, TMovingImage >.

template<class TFixedImage , class TMovingImage >
virtual const bool& itk::ImageToImageMetric< TFixedImage, TMovingImage >::GetUseCachingOfBSplineWeights (  )  [virtual, inherited]

This boolean flag is only relevant when this metric is used along with a BSplineDeformableTransform. The flag enables/disables the caching of values computed when a physical point is mapped through the BSplineDeformableTransform. In particular it will cache the values of the BSpline weights for that points, and the indexes indicating what BSpline-grid nodes are relevant for that specific point. This caching is made optional due to the fact that the memory arrays used for the caching can reach large sizes even for moderate image size problems. For example, for a 3D image of 256^3, using 20% of pixels, these arrays will take about 1 Gigabyte of RAM for storage. The ratio of computing time between using the cache or not using the cache can reach 1:5, meaning that using the caching can provide a five times speed up. It is therefore, interesting to enable the caching, if enough memory is available for it. The caching is enabled by default, in order to preserve backward compatibility with previous versions of ITK.

Reimplemented in itk::MattesMutualInformationImageToImageMetric< TFixedImage, TMovingImage >.

template<class TFixedImage , class TMovingImage >
virtual const bool& itk::ImageToImageMetric< TFixedImage, TMovingImage >::GetUseFixedImageIndexes (  )  [virtual, inherited]

Set the fixed image indexes to be used as the samples when computing the match metric

template<class TFixedImage , class TMovingImage >
virtual const bool& itk::ImageToImageMetric< TFixedImage, TMovingImage >::GetUseFixedImageSamplesIntensityThreshold (  )  [virtual, inherited]
template<class TFixedImage , class TMovingImage >
virtual bool itk::HistogramImageToImageMetric< TFixedImage, TMovingImage >::GetUsePaddingValue (  )  const [virtual, inherited]

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<class TFixedImage , class TMovingImage >
virtual const bool& itk::ImageToImageMetric< TFixedImage, TMovingImage >::GetUseSequentialSampling (  )  [virtual, inherited]

If set to true, then every pixel in the fixed image will be scanned to determine if it should be used in registration metric computation. A pixel will be chosen if it meets any mask or threshold limits set. If set to false, then UseAllPixels will be set to false.

template<class TFixedImage , class TMovingImage >
MeasureType itk::HistogramImageToImageMetric< TFixedImage, TMovingImage >::GetValue ( const TransformParametersType parameters  )  const [inherited]

Get the value for single valued optimizers.

virtual MeasureType itk::SingleValuedCostFunction::GetValue ( const ParametersType parameters  )  const [pure virtual, inherited]

This method returns the value of the cost function corresponding to the specified parameters.

Implemented in itk::Statistics::GoodnessOfFitMixtureModelCostFunction< TInputSample >.

template<class TFixedImage , class TMovingImage >
void itk::HistogramImageToImageMetric< TFixedImage, TMovingImage >::GetValueAndDerivative ( const TransformParametersType parameters,
MeasureType Value,
DerivativeType Derivative 
) const [inherited]

Get value and derivatives for multiple valued optimizers.

virtual void itk::SingleValuedCostFunction::GetValueAndDerivative ( const ParametersType parameters,
MeasureType value,
DerivativeType derivative 
) const [inline, virtual, inherited]

This method returns the value and derivative of the cost function corresponding to the specified parameters

Definition at line 71 of file itkSingleValuedCostFunction.h.

template<class TFixedImage , class TMovingImage >
static ITK_THREAD_RETURN_TYPE itk::ImageToImageMetric< TFixedImage, TMovingImage >::GetValueAndDerivativeMultiThreaded ( void *  arg  )  [static, protected, inherited]
template<class TFixedImage , class TMovingImage >
void itk::ImageToImageMetric< TFixedImage, TMovingImage >::GetValueAndDerivativeMultiThreadedInitiate ( void   )  const [protected, inherited]
template<class TFixedImage , class TMovingImage >
static ITK_THREAD_RETURN_TYPE itk::ImageToImageMetric< TFixedImage, TMovingImage >::GetValueAndDerivativeMultiThreadedPostProcess ( void *  arg  )  [static, protected, inherited]
template<class TFixedImage , class TMovingImage >
void itk::ImageToImageMetric< TFixedImage, TMovingImage >::GetValueAndDerivativeMultiThreadedPostProcessInitiate ( void   )  const [protected, inherited]
template<class TFixedImage , class TMovingImage >
static ITK_THREAD_RETURN_TYPE itk::ImageToImageMetric< TFixedImage, TMovingImage >::GetValueAndDerivativeMultiThreadedPreProcess ( void *  arg  )  [static, protected, inherited]
template<class TFixedImage , class TMovingImage >
void itk::ImageToImageMetric< TFixedImage, TMovingImage >::GetValueAndDerivativeMultiThreadedPreProcessInitiate ( void   )  const [protected, inherited]
template<class TFixedImage , class TMovingImage >
virtual void itk::ImageToImageMetric< TFixedImage, TMovingImage >::GetValueAndDerivativeThread ( unsigned int  threadID  )  const [inline, protected, virtual, inherited]
template<class TFixedImage , class TMovingImage >
virtual void itk::ImageToImageMetric< TFixedImage, TMovingImage >::GetValueAndDerivativeThreadPostProcess ( unsigned int  ,
bool   
) const [inline, protected, virtual, inherited]

Definition at line 590 of file itkOptImageToImageMetric.h.

template<class TFixedImage , class TMovingImage >
virtual void itk::ImageToImageMetric< TFixedImage, TMovingImage >::GetValueAndDerivativeThreadPreProcess ( unsigned int  ,
bool   
) const [inline, protected, virtual, inherited]

Definition at line 579 of file itkOptImageToImageMetric.h.

template<class TFixedImage , class TMovingImage >
virtual bool itk::ImageToImageMetric< TFixedImage, TMovingImage >::GetValueAndDerivativeThreadProcessSample ( unsigned int  ,
unsigned long  ,
const MovingImagePointType ,
double  ,
const ImageDerivativesType  
) const [inline, protected, virtual, inherited]

Definition at line 583 of file itkOptImageToImageMetric.h.

template<class TFixedImage , class TMovingImage >
static ITK_THREAD_RETURN_TYPE itk::ImageToImageMetric< TFixedImage, TMovingImage >::GetValueMultiThreaded ( void *  arg  )  [static, protected, inherited]
template<class TFixedImage , class TMovingImage >
void itk::ImageToImageMetric< TFixedImage, TMovingImage >::GetValueMultiThreadedInitiate ( void   )  const [protected, inherited]
template<class TFixedImage , class TMovingImage >
static ITK_THREAD_RETURN_TYPE itk::ImageToImageMetric< TFixedImage, TMovingImage >::GetValueMultiThreadedPostProcess ( void *  arg  )  [static, protected, inherited]
template<class TFixedImage , class TMovingImage >
void itk::ImageToImageMetric< TFixedImage, TMovingImage >::GetValueMultiThreadedPostProcessInitiate ( void   )  const [protected, inherited]
template<class TFixedImage , class TMovingImage >
static ITK_THREAD_RETURN_TYPE itk::ImageToImageMetric< TFixedImage, TMovingImage >::GetValueMultiThreadedPreProcess ( void *  arg  )  [static, protected, inherited]
template<class TFixedImage , class TMovingImage >
void itk::ImageToImageMetric< TFixedImage, TMovingImage >::GetValueMultiThreadedPreProcessInitiate ( void   )  const [protected, inherited]
template<class TFixedImage , class TMovingImage >
virtual void itk::ImageToImageMetric< TFixedImage, TMovingImage >::GetValueThread ( unsigned int  threadID  )  const [inline, protected, virtual, inherited]
template<class TFixedImage , class TMovingImage >
virtual void itk::ImageToImageMetric< TFixedImage, TMovingImage >::GetValueThreadPostProcess ( unsigned int  ,
bool   
) const [inline, protected, virtual, inherited]

Definition at line 566 of file itkOptImageToImageMetric.h.

template<class TFixedImage , class TMovingImage >
virtual void itk::ImageToImageMetric< TFixedImage, TMovingImage >::GetValueThreadPreProcess ( unsigned int  ,
bool   
) const [inline, protected, virtual, inherited]

Definition at line 556 of file itkOptImageToImageMetric.h.

template<class TFixedImage , class TMovingImage >
virtual bool itk::ImageToImageMetric< TFixedImage, TMovingImage >::GetValueThreadProcessSample ( unsigned int  ,
unsigned long  ,
const MovingImagePointType ,
double   
) const [inline, protected, virtual, inherited]

Definition at line 560 of file itkOptImageToImageMetric.h.

static void itk::Object::GlobalWarningDisplayOff (  )  [inline, static, inherited]

This is a global flag that controls whether any debug, warning or error messages are displayed.

Definition at line 100 of file itkObject.h.

References itk::Object::SetGlobalWarningDisplay().

static void itk::Object::GlobalWarningDisplayOn (  )  [inline, static, inherited]

This is a global flag that controls whether any debug, warning or error messages are displayed.

Definition at line 98 of file itkObject.h.

References itk::Object::SetGlobalWarningDisplay().

bool itk::Object::HasObserver ( const EventObject event  )  const [inherited]

Return true if an observer is registered for this event.

template<class TFixedImage , class TMovingImage >
void itk::KullbackLeiblerCompareHistogramImageToImageMetric< TFixedImage, TMovingImage >::Initialize (  )  throw (ExceptionObject) [virtual]

Forms the histogram of the training images to prepare to evaluate the metric. Must set all parameters first

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

void itk::Object::InvokeEvent ( const EventObject  )  const [inherited]

Call Execute on all the Commands observing this event id. The actions triggered by this call doesn't modify this object.

void itk::Object::InvokeEvent ( const EventObject  )  [inherited]

Call Execute on all the Commands observing this event id.

virtual void itk::Object::Modified (  )  const [virtual, inherited]

Update the modification time for this object. Many filters rely on the modification time to determine if they need to recompute their data.

Reimplemented in itk::NormalizeImageFilter< TInputImage, TOutputImage >, itk::ImageAdaptor< TImage, TAccessor >, itk::MiniPipelineSeparableImageFilter< TInputImage, TOutputImage, TFilter >, itk::GrayscaleDilateImageFilter< TInputImage, TOutputImage, TKernel >, itk::GrayscaleErodeImageFilter< TInputImage, TOutputImage, TKernel >, itk::GrayscaleMorphologicalClosingImageFilter< TInputImage, TOutputImage, TKernel >, itk::GrayscaleMorphologicalOpeningImageFilter< TInputImage, TOutputImage, TKernel >, itk::MorphologicalGradientImageFilter< TInputImage, TOutputImage, TKernel >, itk::ImageAdaptor< TImage, Accessor::AsinPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::SqrtPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::TanPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::CosPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::VectorToRGBPixelAccessor< TImage::PixelType::ValueType > >, itk::ImageAdaptor< TImage, Accessor::RGBToVectorPixelAccessor< TImage::PixelType::ComponentType > >, itk::ImageAdaptor< TImage, Accessor::ComplexToModulusPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::AbsPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::SinPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::LogPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::ComplexToPhasePixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< VectorImage< TPixelType, Dimension >, Accessor::VectorImageToImagePixelAccessor< TPixelType > >, itk::ImageAdaptor< TImage, Accessor::Log10PixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::AtanPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::ComplexToRealPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::ComplexToImaginaryPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::ExpNegativePixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::ExpPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::AcosPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::RGBToLuminancePixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::AddPixelAccessor< TImage::PixelType > >, and itk::MiniPipelineSeparableImageFilter< TInputImage, TOutputImage, RankImageFilter< TInputImage, TInputImage, FlatStructuringElement< ::itk::GetImageDimension< TInputImage >::ImageDimension > > >.

Referenced by itk::NarrowBandImageFilterBase< TInputImage, Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >::InsertNarrowBandNode(), itk::MatrixOffsetTransformBase< TScalarType, 3, 3 >::SetCenter(), itk::MatrixOffsetTransformBase< TScalarType, 3, 3 >::SetMatrix(), itk::NarrowBandImageFilterBase< TInputImage, Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >::SetNarrowBand(), itk::NarrowBandImageFilterBase< TInputImage, Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >::SetNarrowBandInnerRadius(), itk::NarrowBandImageFilterBase< TInputImage, Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >::SetNarrowBandTotalRadius(), itk::MatrixOffsetTransformBase< TScalarType, 3, 3 >::SetOffset(), itk::ThresholdLabelerImageFilter< TInputImage, TOutputImage >::SetRealThresholds(), itk::ThresholdLabelerImageFilter< TInputImage, TOutputImage >::SetThresholds(), itk::Statistics::GoodnessOfFitFunctionBase< TInputHistogram >::SetTotalObservedScale(), and itk::MatrixOffsetTransformBase< TScalarType, 3, 3 >::SetTranslation().

template<class TFixedImage , class TMovingImage >
virtual void itk::ImageToImageMetric< TFixedImage, TMovingImage >::MultiThreadingInitialize ( void   )  throw ( ExceptionObject ) [virtual, inherited]

Initialize the components related to supporting multiple threads

template<class TFixedImage , class TMovingImage >
static Pointer itk::KullbackLeiblerCompareHistogramImageToImageMetric< TFixedImage, TMovingImage >::New (  )  [static]

Method for creation through the object factory.

Reimplemented from itk::Object.

template<class TFixedImage , class TMovingImage >
virtual void itk::ImageToImageMetric< TFixedImage, TMovingImage >::PreComputeTransformValues ( void   )  [protected, virtual, inherited]
void itk::LightObject::Print ( std::ostream &  os,
Indent  indent = 0 
) const [inherited]

Cause the object to print itself out.

Referenced by itk::WeakPointer< ProcessObject >::Print().

virtual void itk::LightObject::PrintHeader ( std::ostream &  os,
Indent  indent 
) const [protected, virtual, inherited]

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.

bool itk::Object::PrintObservers ( std::ostream &  os,
Indent  indent 
) const [protected, inherited]
template<class TFixedImage , class TMovingImage >
void itk::KullbackLeiblerCompareHistogramImageToImageMetric< TFixedImage, TMovingImage >::PrintSelf ( std::ostream &  os,
Indent  indent 
) const [protected, virtual]

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

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

virtual void itk::LightObject::PrintTrailer ( std::ostream &  os,
Indent  indent 
) const [protected, virtual, inherited]

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.

virtual void itk::Object::Register (  )  const [virtual, inherited]

Increase the reference count (mark as used by another object).

Reimplemented from itk::LightObject.

template<class TFixedImage , class TMovingImage >
void itk::ImageToImageMetric< TFixedImage, TMovingImage >::ReinitializeSeed (  )  [inherited]

Reinitialize the seed of the random number generator that selects the sample of pixels used for estimating the image histograms and the joint histogram. By nature, this metric is not deterministic, since at each run it may select a different set of pixels. By initializing the random number generator seed to the same value you can restore determinism. On the other hand, calling the method ReinitializeSeed() without arguments will use the clock from your machine in order to have a very random initialization of the seed. This will indeed increase the non-deterministic behavior of the metric.

Reimplemented in itk::MattesMutualInformationImageToImageMetric< TFixedImage, TMovingImage >, and itk::MutualInformationImageToImageMetric< TFixedImage, TMovingImage >.

template<class TFixedImage , class TMovingImage >
void itk::ImageToImageMetric< TFixedImage, TMovingImage >::ReinitializeSeed ( int  seed  )  [inherited]

Reinitialize the seed of the random number generator that selects the sample of pixels used for estimating the image histograms and the joint histogram. By nature, this metric is not deterministic, since at each run it may select a different set of pixels. By initializing the random number generator seed to the same value you can restore determinism. On the other hand, calling the method ReinitializeSeed() without arguments will use the clock from your machine in order to have a very random initialization of the seed. This will indeed increase the non-deterministic behavior of the metric.

Reimplemented in itk::MattesMutualInformationImageToImageMetric< TFixedImage, TMovingImage >, and itk::MutualInformationImageToImageMetric< TFixedImage, TMovingImage >.

void itk::Object::RemoveAllObservers (  )  [inherited]

Remove all observers .

void itk::Object::RemoveObserver ( unsigned long  tag  )  [inherited]

Remove the observer with this tag value.

template<class TFixedImage , class TMovingImage >
virtual void itk::ImageToImageMetric< TFixedImage, TMovingImage >::SampleFixedImageIndexes ( FixedImageSampleContainer samples  )  const [protected, virtual, inherited]
template<class TFixedImage , class TMovingImage >
virtual void itk::ImageToImageMetric< TFixedImage, TMovingImage >::SampleFixedImageRegion ( FixedImageSampleContainer samples  )  const [protected, virtual, inherited]

Uniformly select a sample set from the fixed image domain.

template<class TFixedImage , class TMovingImage >
virtual void itk::ImageToImageMetric< TFixedImage, TMovingImage >::SampleFullFixedImageRegion ( FixedImageSampleContainer samples  )  const [protected, virtual, inherited]

Gather all the pixels from the fixed image domain.

template<class TFixedImage , class TMovingImage >
virtual void itk::ImageToImageMetric< TFixedImage, TMovingImage >::SetComputeGradient ( bool  _arg  )  [virtual, inherited]

Set/Get gradient computation.

template<class TFixedImage , class TMovingImage >
virtual void itk::ImageToImageMetric< TFixedImage, TMovingImage >::SetComputeGradient ( bool  _arg  )  [virtual, inherited]

Set/Get gradient computation.

void itk::Object::SetDebug ( bool  debugFlag  )  const [inherited]

Set the value of the debug flag. A non-zero value turns debugging on.

template<class TFixedImage , class TMovingImage >
virtual void itk::HistogramImageToImageMetric< TFixedImage, TMovingImage >::SetDerivativeStepLength ( double  _arg  )  [virtual, inherited]

Sets the step length used to calculate the derivative.

template<class TFixedImage , class TMovingImage >
virtual void itk::HistogramImageToImageMetric< TFixedImage, TMovingImage >::SetDerivativeStepLengthScales ( ScalesType  _arg  )  [virtual, inherited]

Sets the derivative step length scales.

template<class TFixedImage , class TMovingImage >
virtual void itk::KullbackLeiblerCompareHistogramImageToImageMetric< TFixedImage, TMovingImage >::SetEpsilon ( double  _arg  )  [virtual]

Set epsilon, which is added to each bin in both Histogram

template<class TFixedImage , class TMovingImage >
virtual void itk::ImageToImageMetric< TFixedImage, TMovingImage >::SetFixedImage ( const FixedImageType _arg  )  [virtual, inherited]

Connect the Fixed Image.

template<class TFixedImage , class TMovingImage >
virtual void itk::ImageToImageMetric< TFixedImage, TMovingImage >::SetFixedImage ( const FixedImageType _arg  )  [virtual, inherited]

Connect the Fixed Image.

template<class TFixedImage , class TMovingImage >
void itk::ImageToImageMetric< TFixedImage, TMovingImage >::SetFixedImageIndexes ( const FixedImageIndexContainer indexes  )  [inherited]

Set the fixed image indexes to be used as the samples when computing the match metric

template<class TFixedImage , class TMovingImage >
virtual void itk::ImageToImageMetric< TFixedImage, TMovingImage >::SetFixedImageMask ( FixedImageMaskType _arg  )  [virtual, inherited]

Set/Get the fixed image mask.

template<class TFixedImage , class TMovingImage >
virtual void itk::ImageToImageMetric< TFixedImage, TMovingImage >::SetFixedImageMask ( const FixedImageMaskType mask  )  [inline, virtual, inherited]
template<class TFixedImage , class TMovingImage >
virtual void itk::ImageToImageMetric< TFixedImage, TMovingImage >::SetFixedImageMask ( const FixedImageMaskType _arg  )  [virtual, inherited]

Set/Get the fixed image mask.

template<class TFixedImage , class TMovingImage >
virtual void itk::ImageToImageMetric< TFixedImage, TMovingImage >::SetFixedImageMask ( FixedImageMaskType _arg  )  [virtual, inherited]

Set/Get the fixed image mask.

template<class TFixedImage , class TMovingImage >
virtual void itk::ImageToImageMetric< TFixedImage, TMovingImage >::SetFixedImageRegion ( FixedImageRegionType  _arg  )  [virtual, inherited]

Set the region over which the metric will be computed

template<class TFixedImage , class TMovingImage >
void itk::ImageToImageMetric< TFixedImage, TMovingImage >::SetFixedImageRegion ( const FixedImageRegionType  reg  )  [inherited]

Set the region over which the metric will be computed

template<class TFixedImage , class TMovingImage >
void itk::ImageToImageMetric< TFixedImage, TMovingImage >::SetFixedImageSamplesIntensityThreshold ( const FixedImagePixelType thresh  )  [inherited]

Minimum fixed-image intensity needed for a sample to be used in the metric computation

static void itk::Object::SetGlobalWarningDisplay ( bool  flag  )  [static, inherited]

This is a global flag that controls whether any debug, warning or error messages are displayed.

Referenced by itk::Object::GlobalWarningDisplayOff(), and itk::Object::GlobalWarningDisplayOn().

template<class TFixedImage , class TMovingImage >
virtual void itk::HistogramImageToImageMetric< TFixedImage, TMovingImage >::SetHistogramSize ( HistogramSizeType  _arg  )  [virtual, inherited]

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

template<class TFixedImage , class TMovingImage >
virtual void itk::ImageToImageMetric< TFixedImage, TMovingImage >::SetInterpolator ( InterpolatorType _arg  )  [virtual, inherited]

Connect the Interpolator.

template<class TFixedImage , class TMovingImage >
virtual void itk::ImageToImageMetric< TFixedImage, TMovingImage >::SetInterpolator ( InterpolatorType _arg  )  [virtual, inherited]

Connect the Interpolator.

template<class TFixedImage , class TMovingImage >
void itk::HistogramImageToImageMetric< TFixedImage, TMovingImage >::SetLowerBound ( const MeasurementVectorType bound  )  [inherited]

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.

void itk::Object::SetMetaDataDictionary ( const MetaDataDictionary rhs  )  [inherited]
Returns:
Set the MetaDataDictionary
template<class TFixedImage , class TMovingImage >
virtual void itk::ImageToImageMetric< TFixedImage, TMovingImage >::SetMovingImage ( const MovingImageType _arg  )  [virtual, inherited]

Connect the Moving Image.

template<class TFixedImage , class TMovingImage >
virtual void itk::ImageToImageMetric< TFixedImage, TMovingImage >::SetMovingImage ( const MovingImageType _arg  )  [virtual, inherited]

Connect the Moving Image.

template<class TFixedImage , class TMovingImage >
virtual void itk::ImageToImageMetric< TFixedImage, TMovingImage >::SetMovingImageMask ( MovingImageMaskType _arg  )  [virtual, inherited]

Set/Get the moving image mask.

template<class TFixedImage , class TMovingImage >
virtual void itk::ImageToImageMetric< TFixedImage, TMovingImage >::SetMovingImageMask ( MovingImageMaskType _arg  )  [virtual, inherited]

Set/Get the moving image mask.

template<class TFixedImage , class TMovingImage >
virtual void itk::ImageToImageMetric< TFixedImage, TMovingImage >::SetMovingImageMask ( const MovingImageMaskType _arg  )  [virtual, inherited]

Set/Get the moving image mask.

template<class TFixedImage , class TMovingImage >
virtual void itk::ImageToImageMetric< TFixedImage, TMovingImage >::SetMovingImageMask ( const MovingImageMaskType mask  )  [inline, virtual, inherited]
template<class TFixedImage , class TMovingImage >
virtual void itk::ImageToImageMetric< TFixedImage, TMovingImage >::SetNumberOfFixedImageSamples ( unsigned long  numSamples  )  [virtual, inherited]

Number of spatial samples to used to compute metric This sets the number of samples.

template<class TFixedImage , class TMovingImage >
void itk::ImageToImageMetric< TFixedImage, TMovingImage >::SetNumberOfSpatialSamples ( unsigned long  num  )  [inline, inherited]

Number of spatial samples to used to compute metric This sets the number of samples.

Reimplemented in itk::MattesMutualInformationImageToImageMetric< TFixedImage, TMovingImage >.

Definition at line 262 of file itkOptImageToImageMetric.h.

template<class TFixedImage , class TMovingImage >
void itk::ImageToImageMetric< TFixedImage, TMovingImage >::SetNumberOfThreads ( unsigned int  numberOfThreads  )  [inherited]

Set/Get number of threads to use for computations.

template<class TFixedImage , class TMovingImage >
virtual void itk::HistogramImageToImageMetric< TFixedImage, TMovingImage >::SetPaddingValue ( FixedImagePixelType  _arg  )  [virtual, inherited]

The padding value.

virtual void itk::Object::SetReferenceCount ( int   )  [virtual, inherited]

Sets the reference count (use with care)

Reimplemented from itk::LightObject.

template<class TFixedImage , class TMovingImage >
virtual void itk::CompareHistogramImageToImageMetric< TFixedImage, TMovingImage >::SetTrainingFixedImage ( const FixedImageType _arg  )  [virtual, inherited]

Set the Training Fixed Image.

template<class TFixedImage , class TMovingImage >
virtual void itk::CompareHistogramImageToImageMetric< TFixedImage, TMovingImage >::SetTrainingFixedImageRegion ( FixedImageRegionType  _arg  )  [virtual, inherited]

Set the region over which the training histogram will be computed

template<class TFixedImage , class TMovingImage >
virtual void itk::CompareHistogramImageToImageMetric< TFixedImage, TMovingImage >::SetTrainingHistogram ( HistogramPointerType  _arg  )  [virtual, inherited]

Set the histogram to be used in the metric calculation

template<class TFixedImage , class TMovingImage >
virtual void itk::CompareHistogramImageToImageMetric< TFixedImage, TMovingImage >::SetTrainingInterpolator ( InterpolatorType _arg  )  [virtual, inherited]

Set the Interpolator.

template<class TFixedImage , class TMovingImage >
virtual void itk::CompareHistogramImageToImageMetric< TFixedImage, TMovingImage >::SetTrainingMovingImage ( const MovingImageType _arg  )  [virtual, inherited]

Set the Training Moving Image.

template<class TFixedImage , class TMovingImage >
virtual void itk::CompareHistogramImageToImageMetric< TFixedImage, TMovingImage >::SetTrainingTransform ( TransformType _arg  )  [virtual, inherited]

Set the Training Transform.

template<class TFixedImage , class TMovingImage >
void itk::HistogramImageToImageMetric< TFixedImage, TMovingImage >::SetTransform ( TransformType transform  )  [inherited]

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

template<class TFixedImage , class TMovingImage >
virtual void itk::ImageToImageMetric< TFixedImage, TMovingImage >::SetTransform ( TransformType _arg  )  [virtual, inherited]

Connect the Transform.

template<class TFixedImage , class TMovingImage >
void itk::ImageToImageMetric< TFixedImage, TMovingImage >::SetTransformParameters ( const ParametersType parameters  )  const [inherited]

Set the parameters defining the Transform.

template<class TFixedImage , class TMovingImage >
void itk::ImageToImageMetric< TFixedImage, TMovingImage >::SetTransformParameters ( const ParametersType parameters  )  const [inherited]

Set the parameters defining the Transform.

template<class TFixedImage , class TMovingImage >
void itk::HistogramImageToImageMetric< TFixedImage, TMovingImage >::SetUpperBound ( const MeasurementVectorType bound  )  [inherited]

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<class TFixedImage , class TMovingImage >
virtual void itk::HistogramImageToImageMetric< TFixedImage, TMovingImage >::SetUpperBoundIncreaseFactor ( double  _arg  )  [virtual, inherited]

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

template<class TFixedImage , class TMovingImage >
void itk::ImageToImageMetric< TFixedImage, TMovingImage >::SetUseAllPixels ( bool  useAllPixels  )  [inherited]

Select whether the metric will be computed using all the pixels on the fixed image region, or only using a set of randomly selected pixels. This value override IntensityThreshold, Masks, and SequentialSampling.

Reimplemented in itk::MattesMutualInformationImageToImageMetric< TFixedImage, TMovingImage >.

template<class TFixedImage , class TMovingImage >
virtual void itk::ImageToImageMetric< TFixedImage, TMovingImage >::SetUseCachingOfBSplineWeights ( bool  _arg  )  [virtual, inherited]

This boolean flag is only relevant when this metric is used along with a BSplineDeformableTransform. The flag enables/disables the caching of values computed when a physical point is mapped through the BSplineDeformableTransform. In particular it will cache the values of the BSpline weights for that points, and the indexes indicating what BSpline-grid nodes are relevant for that specific point. This caching is made optional due to the fact that the memory arrays used for the caching can reach large sizes even for moderate image size problems. For example, for a 3D image of 256^3, using 20% of pixels, these arrays will take about 1 Gigabyte of RAM for storage. The ratio of computing time between using the cache or not using the cache can reach 1:5, meaning that using the caching can provide a five times speed up. It is therefore, interesting to enable the caching, if enough memory is available for it. The caching is enabled by default, in order to preserve backward compatibility with previous versions of ITK.

Reimplemented in itk::MattesMutualInformationImageToImageMetric< TFixedImage, TMovingImage >.

template<class TFixedImage , class TMovingImage >
void itk::ImageToImageMetric< TFixedImage, TMovingImage >::SetUseFixedImageIndexes ( bool  useIndex  )  [inherited]

Set the fixed image indexes to be used as the samples when computing the match metric

template<class TFixedImage , class TMovingImage >
void itk::ImageToImageMetric< TFixedImage, TMovingImage >::SetUseFixedImageSamplesIntensityThreshold ( bool  useThresh  )  [inherited]
template<class TFixedImage , class TMovingImage >
virtual void itk::HistogramImageToImageMetric< TFixedImage, TMovingImage >::SetUsePaddingValue ( bool  _arg  )  [virtual, inherited]

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<class TFixedImage , class TMovingImage >
void itk::ImageToImageMetric< TFixedImage, TMovingImage >::SetUseSequentialSampling ( bool  sequentialSampling  )  [inherited]

If set to true, then every pixel in the fixed image will be scanned to determine if it should be used in registration metric computation. A pixel will be chosen if it meets any mask or threshold limits set. If set to false, then UseAllPixels will be set to false.

template<class TFixedImage , class TMovingImage >
virtual void itk::ImageToImageMetric< TFixedImage, TMovingImage >::SynchronizeTransforms (  )  const [protected, virtual, inherited]

Synchronizes the threader transforms with the transform member variable.

template<class TFixedImage , class TMovingImage >
virtual void itk::ImageToImageMetric< TFixedImage, TMovingImage >::TransformPoint ( unsigned int  sampleNumber,
MovingImagePointType mappedPoint,
bool &  sampleWithinSupportRegion,
double &  movingImageValue,
unsigned int  threadID 
) const [protected, virtual, inherited]

Transform a point from FixedImage domain to MovingImage domain. This function also checks if mapped point is within support region.

template<class TFixedImage , class TMovingImage >
virtual void itk::ImageToImageMetric< TFixedImage, TMovingImage >::TransformPointWithDerivatives ( unsigned int  sampleNumber,
MovingImagePointType mappedPoint,
bool &  sampleWithinSupportRegion,
double &  movingImageValue,
ImageDerivativesType gradient,
unsigned int  threadID 
) const [protected, virtual, inherited]
virtual void itk::Object::UnRegister (  )  const [virtual, inherited]

Decrease the reference count (release by another object).

Reimplemented from itk::LightObject.

template<class TFixedImage , class TMovingImage >
void itk::ImageToImageMetric< TFixedImage, TMovingImage >::UseAllPixelsOff ( void   )  [inline, inherited]

Select whether the metric will be computed using all the pixels on the fixed image region, or only using a set of randomly selected pixels. This value override IntensityThreshold, Masks, and SequentialSampling.

Reimplemented in itk::MattesMutualInformationImageToImageMetric< TFixedImage, TMovingImage >.

Definition at line 289 of file itkOptImageToImageMetric.h.

template<class TFixedImage , class TMovingImage >
void itk::ImageToImageMetric< TFixedImage, TMovingImage >::UseAllPixelsOn ( void   )  [inline, inherited]

Select whether the metric will be computed using all the pixels on the fixed image region, or only using a set of randomly selected pixels. This value override IntensityThreshold, Masks, and SequentialSampling.

Reimplemented in itk::MattesMutualInformationImageToImageMetric< TFixedImage, TMovingImage >.

Definition at line 285 of file itkOptImageToImageMetric.h.

template<class TFixedImage , class TMovingImage >
virtual void itk::ImageToImageMetric< TFixedImage, TMovingImage >::UseCachingOfBSplineWeightsOff (  )  [virtual, inherited]

This boolean flag is only relevant when this metric is used along with a BSplineDeformableTransform. The flag enables/disables the caching of values computed when a physical point is mapped through the BSplineDeformableTransform. In particular it will cache the values of the BSpline weights for that points, and the indexes indicating what BSpline-grid nodes are relevant for that specific point. This caching is made optional due to the fact that the memory arrays used for the caching can reach large sizes even for moderate image size problems. For example, for a 3D image of 256^3, using 20% of pixels, these arrays will take about 1 Gigabyte of RAM for storage. The ratio of computing time between using the cache or not using the cache can reach 1:5, meaning that using the caching can provide a five times speed up. It is therefore, interesting to enable the caching, if enough memory is available for it. The caching is enabled by default, in order to preserve backward compatibility with previous versions of ITK.

Reimplemented in itk::MattesMutualInformationImageToImageMetric< TFixedImage, TMovingImage >.

template<class TFixedImage , class TMovingImage >
virtual void itk::ImageToImageMetric< TFixedImage, TMovingImage >::UseCachingOfBSplineWeightsOn (  )  [virtual, inherited]

This boolean flag is only relevant when this metric is used along with a BSplineDeformableTransform. The flag enables/disables the caching of values computed when a physical point is mapped through the BSplineDeformableTransform. In particular it will cache the values of the BSpline weights for that points, and the indexes indicating what BSpline-grid nodes are relevant for that specific point. This caching is made optional due to the fact that the memory arrays used for the caching can reach large sizes even for moderate image size problems. For example, for a 3D image of 256^3, using 20% of pixels, these arrays will take about 1 Gigabyte of RAM for storage. The ratio of computing time between using the cache or not using the cache can reach 1:5, meaning that using the caching can provide a five times speed up. It is therefore, interesting to enable the caching, if enough memory is available for it. The caching is enabled by default, in order to preserve backward compatibility with previous versions of ITK.

Reimplemented in itk::MattesMutualInformationImageToImageMetric< TFixedImage, TMovingImage >.


Member Data Documentation

template<class TFixedImage , class TMovingImage >
const unsigned int itk::ImageToImageMetric< TFixedImage, TMovingImage >::DeformationSplineOrder = 3 [static, protected, inherited]

Definition at line 446 of file itkOptImageToImageMetric.h.

template<class TFixedImage , class TMovingImage >
static const unsigned int itk::ImageToImageMetric< TFixedImage, TMovingImage >::FixedImageDimension = TFixedImage::ImageDimension [static, inherited]

Constants for the image dimensions

Reimplemented in itk::GradientDifferenceImageToImageMetric< TFixedImage, TMovingImage >.

Definition at line 91 of file itkImageToImageMetric.h.

template<class TFixedImage , class TMovingImage >
BSplineInterpolatorType::Pointer itk::ImageToImageMetric< TFixedImage, TMovingImage >::m_BSplineInterpolator [protected, inherited]

Pointer to BSplineInterpolator.

Definition at line 522 of file itkOptImageToImageMetric.h.

template<class TFixedImage , class TMovingImage >
BSplineParametersOffsetType itk::ImageToImageMetric< TFixedImage, TMovingImage >::m_BSplineParametersOffset [protected, inherited]

Definition at line 491 of file itkOptImageToImageMetric.h.

template<class TFixedImage , class TMovingImage >
MovingImagePointArrayType itk::ImageToImageMetric< TFixedImage, TMovingImage >::m_BSplinePreTransformPointsArray [protected, inherited]

Definition at line 488 of file itkOptImageToImageMetric.h.

template<class TFixedImage , class TMovingImage >
BSplineTransformType::Pointer itk::ImageToImageMetric< TFixedImage, TMovingImage >::m_BSplineTransform [protected, inherited]

Definition at line 484 of file itkOptImageToImageMetric.h.

template<class TFixedImage , class TMovingImage >
BSplineTransformIndexArrayType itk::ImageToImageMetric< TFixedImage, TMovingImage >::m_BSplineTransformIndices [mutable, protected, inherited]

Definition at line 496 of file itkOptImageToImageMetric.h.

template<class TFixedImage , class TMovingImage >
BSplineTransformIndicesArrayType itk::ImageToImageMetric< TFixedImage, TMovingImage >::m_BSplineTransformIndicesArray [protected, inherited]

Definition at line 487 of file itkOptImageToImageMetric.h.

template<class TFixedImage , class TMovingImage >
BSplineTransformWeightsType itk::ImageToImageMetric< TFixedImage, TMovingImage >::m_BSplineTransformWeights [mutable, protected, inherited]

Definition at line 495 of file itkOptImageToImageMetric.h.

template<class TFixedImage , class TMovingImage >
BSplineTransformWeightsArrayType itk::ImageToImageMetric< TFixedImage, TMovingImage >::m_BSplineTransformWeightsArray [protected, inherited]

Definition at line 486 of file itkOptImageToImageMetric.h.

template<class TFixedImage , class TMovingImage >
bool itk::ImageToImageMetric< TFixedImage, TMovingImage >::m_ComputeGradient [protected, inherited]

Definition at line 248 of file itkImageToImageMetric.h.

template<class TFixedImage , class TMovingImage >
DerivativeFunctionType::Pointer itk::ImageToImageMetric< TFixedImage, TMovingImage >::m_DerivativeCalculator [protected, inherited]

Pointer to central difference calculator.

Definition at line 525 of file itkOptImageToImageMetric.h.

template<class TFixedImage , class TMovingImage >
double itk::KullbackLeiblerCompareHistogramImageToImageMetric< TFixedImage, TMovingImage >::m_Epsilon [protected]
template<class TFixedImage , class TMovingImage >
FixedImageConstPointer itk::ImageToImageMetric< TFixedImage, TMovingImage >::m_FixedImage [protected, inherited]

Definition at line 242 of file itkImageToImageMetric.h.

template<class TFixedImage , class TMovingImage >
FixedImageIndexContainer itk::ImageToImageMetric< TFixedImage, TMovingImage >::m_FixedImageIndexes [protected, inherited]

Definition at line 376 of file itkOptImageToImageMetric.h.

template<class TFixedImage , class TMovingImage >
FixedImageMaskConstPointer itk::ImageToImageMetric< TFixedImage, TMovingImage >::m_FixedImageMask [protected, inherited]

Definition at line 421 of file itkOptImageToImageMetric.h.

template<class TFixedImage , class TMovingImage >
FixedImageMaskPointer itk::ImageToImageMetric< TFixedImage, TMovingImage >::m_FixedImageMask [mutable, protected, inherited]

Definition at line 255 of file itkImageToImageMetric.h.

template<class TFixedImage , class TMovingImage >
FixedImageSampleContainer itk::ImageToImageMetric< TFixedImage, TMovingImage >::m_FixedImageSamples [protected, inherited]

Container to store a set of points and fixed image values.

Reimplemented in itk::MattesMutualInformationImageToImageMetric< TFixedImage, TMovingImage >.

Definition at line 395 of file itkOptImageToImageMetric.h.

template<class TFixedImage , class TMovingImage >
FixedImagePixelType itk::ImageToImageMetric< TFixedImage, TMovingImage >::m_FixedImageSamplesIntensityThreshold [protected, inherited]

Definition at line 379 of file itkOptImageToImageMetric.h.

template<class TFixedImage , class TMovingImage >
GradientImagePointer itk::ImageToImageMetric< TFixedImage, TMovingImage >::m_GradientImage [protected, inherited]

Definition at line 249 of file itkImageToImageMetric.h.

template<class TFixedImage , class TMovingImage >
HistogramSizeType itk::HistogramImageToImageMetric< TFixedImage, TMovingImage >::m_HistogramSize [protected, inherited]

The histogram size.

Definition at line 164 of file itkHistogramImageToImageMetric.h.

template<class TFixedImage , class TMovingImage >
InterpolatorPointer itk::ImageToImageMetric< TFixedImage, TMovingImage >::m_Interpolator [protected, inherited]

Definition at line 246 of file itkImageToImageMetric.h.

template<class TFixedImage , class TMovingImage >
bool itk::ImageToImageMetric< TFixedImage, TMovingImage >::m_InterpolatorIsBSpline [protected, inherited]

Boolean to indicate if the interpolator BSpline.

Definition at line 519 of file itkOptImageToImageMetric.h.

template<class TFixedImage , class TMovingImage >
MeasurementVectorType itk::HistogramImageToImageMetric< TFixedImage, TMovingImage >::m_LowerBound [mutable, protected, inherited]

The lower bound for samples in the histogram.

Definition at line 171 of file itkHistogramImageToImageMetric.h.

template<class TFixedImage , class TMovingImage >
bool itk::HistogramImageToImageMetric< TFixedImage, TMovingImage >::m_LowerBoundSetByUser [protected, inherited]

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 181 of file itkHistogramImageToImageMetric.h.

template<class TFixedImage , class TMovingImage >
MovingImageConstPointer itk::ImageToImageMetric< TFixedImage, TMovingImage >::m_MovingImage [protected, inherited]

Definition at line 243 of file itkImageToImageMetric.h.

template<class TFixedImage , class TMovingImage >
MovingImageMaskPointer itk::ImageToImageMetric< TFixedImage, TMovingImage >::m_MovingImageMask [mutable, protected, inherited]

Definition at line 256 of file itkImageToImageMetric.h.

template<class TFixedImage , class TMovingImage >
MovingImageMaskConstPointer itk::ImageToImageMetric< TFixedImage, TMovingImage >::m_MovingImageMask [protected, inherited]

Definition at line 422 of file itkOptImageToImageMetric.h.

template<class TFixedImage , class TMovingImage >
unsigned long itk::ImageToImageMetric< TFixedImage, TMovingImage >::m_NumberOfFixedImageSamples [protected, inherited]

Definition at line 400 of file itkOptImageToImageMetric.h.

template<class TFixedImage , class TMovingImage >
unsigned long itk::ImageToImageMetric< TFixedImage, TMovingImage >::m_NumberOfParameters [protected, inherited]

Definition at line 397 of file itkOptImageToImageMetric.h.

template<class TFixedImage , class TMovingImage >
unsigned long itk::ImageToImageMetric< TFixedImage, TMovingImage >::m_NumberOfPixelsCounted [mutable, protected, inherited]

Definition at line 240 of file itkImageToImageMetric.h.

template<class TFixedImage , class TMovingImage >
unsigned int itk::ImageToImageMetric< TFixedImage, TMovingImage >::m_NumberOfThreads [protected, inherited]

Definition at line 424 of file itkOptImageToImageMetric.h.

template<class TFixedImage , class TMovingImage >
unsigned long itk::ImageToImageMetric< TFixedImage, TMovingImage >::m_NumBSplineWeights [protected, inherited]

The number of BSpline transform weights is the number of of parameter in the support region (per dimension ).

Definition at line 444 of file itkOptImageToImageMetric.h.

template<class TFixedImage , class TMovingImage >
ParametersType itk::ImageToImageMetric< TFixedImage, TMovingImage >::m_Parameters [mutable, protected, inherited]

Definition at line 398 of file itkOptImageToImageMetric.h.

template<class TFixedImage , class TMovingImage >
int itk::ImageToImageMetric< TFixedImage, TMovingImage >::m_RandomSeed [protected, inherited]

Definition at line 431 of file itkOptImageToImageMetric.h.

Number of uses of this object by other objects.

Definition at line 144 of file itkLightObject.h.

Mutex lock to protect modification to the reference count

Definition at line 147 of file itkLightObject.h.

template<class TFixedImage , class TMovingImage >
bool itk::ImageToImageMetric< TFixedImage, TMovingImage >::m_ReseedIterator [protected, inherited]

Definition at line 429 of file itkOptImageToImageMetric.h.

template<class TFixedImage , class TMovingImage >
MultiThreaderType::Pointer itk::ImageToImageMetric< TFixedImage, TMovingImage >::m_Threader [protected, inherited]

Definition at line 542 of file itkOptImageToImageMetric.h.

template<class TFixedImage , class TMovingImage >
BSplineTransformIndexArrayType* itk::ImageToImageMetric< TFixedImage, TMovingImage >::m_ThreaderBSplineTransformIndices [mutable, protected, inherited]

Definition at line 499 of file itkOptImageToImageMetric.h.

template<class TFixedImage , class TMovingImage >
BSplineTransformWeightsType* itk::ImageToImageMetric< TFixedImage, TMovingImage >::m_ThreaderBSplineTransformWeights [mutable, protected, inherited]

Definition at line 498 of file itkOptImageToImageMetric.h.

template<class TFixedImage , class TMovingImage >
unsigned int* itk::ImageToImageMetric< TFixedImage, TMovingImage >::m_ThreaderNumberOfMovingImageSamples [mutable, protected, inherited]

Definition at line 544 of file itkOptImageToImageMetric.h.

template<class TFixedImage , class TMovingImage >
MultiThreaderParameterType itk::ImageToImageMetric< TFixedImage, TMovingImage >::m_ThreaderParameter [protected, inherited]

Definition at line 543 of file itkOptImageToImageMetric.h.

template<class TFixedImage , class TMovingImage >
TransformPointer* itk::ImageToImageMetric< TFixedImage, TMovingImage >::m_ThreaderTransform [protected, inherited]

Copies of Transform helpers per thread (N-1 of them, since m_Transform will do the work for thread=0.

Definition at line 414 of file itkOptImageToImageMetric.h.

template<class TFixedImage , class TMovingImage >
TransformPointer itk::ImageToImageMetric< TFixedImage, TMovingImage >::m_Transform [mutable, protected, inherited]

Main transform to be used in thread = 0

Definition at line 245 of file itkImageToImageMetric.h.

template<class TFixedImage , class TMovingImage >
bool itk::ImageToImageMetric< TFixedImage, TMovingImage >::m_TransformIsBSpline [protected, inherited]

Types and variables related to BSpline deformable transforms. If the transform is of type third order BSplineDeformableTransform, then we can speed up the metric derivative calculation by only inspecting the parameters within the support region of a mapped point. Boolean to indicate if the transform is BSpline deformable.

Definition at line 440 of file itkOptImageToImageMetric.h.

template<class TFixedImage , class TMovingImage >
MeasurementVectorType itk::HistogramImageToImageMetric< TFixedImage, TMovingImage >::m_UpperBound [mutable, protected, inherited]

The upper bound for samples in the histogram.

Definition at line 174 of file itkHistogramImageToImageMetric.h.

template<class TFixedImage , class TMovingImage >
double itk::HistogramImageToImageMetric< TFixedImage, TMovingImage >::m_UpperBoundIncreaseFactor [protected, inherited]

The increase in the upper bound.

Definition at line 177 of file itkHistogramImageToImageMetric.h.

template<class TFixedImage , class TMovingImage >
bool itk::HistogramImageToImageMetric< TFixedImage, TMovingImage >::m_UpperBoundSetByUser [protected, inherited]

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 185 of file itkHistogramImageToImageMetric.h.

template<class TFixedImage , class TMovingImage >
bool itk::ImageToImageMetric< TFixedImage, TMovingImage >::m_UseAllPixels [protected, inherited]

Definition at line 426 of file itkOptImageToImageMetric.h.

template<class TFixedImage , class TMovingImage >
bool itk::ImageToImageMetric< TFixedImage, TMovingImage >::m_UseCachingOfBSplineWeights [protected, inherited]

Definition at line 494 of file itkOptImageToImageMetric.h.

template<class TFixedImage , class TMovingImage >
bool itk::ImageToImageMetric< TFixedImage, TMovingImage >::m_UseFixedImageIndexes [protected, inherited]

Definition at line 375 of file itkOptImageToImageMetric.h.

template<class TFixedImage , class TMovingImage >
bool itk::ImageToImageMetric< TFixedImage, TMovingImage >::m_UseFixedImageSamplesIntensityThreshold [protected, inherited]

Definition at line 378 of file itkOptImageToImageMetric.h.

template<class TFixedImage , class TMovingImage >
bool itk::ImageToImageMetric< TFixedImage, TMovingImage >::m_UseSequentialSampling [protected, inherited]

Definition at line 427 of file itkOptImageToImageMetric.h.

template<class TFixedImage , class TMovingImage >
BooleanArrayType itk::ImageToImageMetric< TFixedImage, TMovingImage >::m_WithinBSplineSupportRegionArray [protected, inherited]

Definition at line 489 of file itkOptImageToImageMetric.h.

template<class TFixedImage , class TMovingImage >
bool itk::ImageToImageMetric< TFixedImage, TMovingImage >::m_WithinThreadPostProcess [protected, inherited]

Definition at line 546 of file itkOptImageToImageMetric.h.

template<class TFixedImage , class TMovingImage >
bool itk::ImageToImageMetric< TFixedImage, TMovingImage >::m_WithinThreadPreProcess [protected, inherited]

Definition at line 545 of file itkOptImageToImageMetric.h.

template<class TFixedImage , class TMovingImage >
static const unsigned int itk::ImageToImageMetric< TFixedImage, TMovingImage >::MovingImageDimension = TMovingImage::ImageDimension [static, inherited]

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

Generated at Mon Jul 12 2010 23:39:43 for ITK by doxygen 1.7.1 written by Dimitri van Heesch, © 1997-2000