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

Compares Histograms between two images to be registered to a Training Histogram. More...

#include <itkCompareHistogramImageToImageMetric.h>

Inheritance diagram for itk::CompareHistogramImageToImageMetric< TFixedImage, TMovingImage >:

Collaboration diagram for itk::CompareHistogramImageToImageMetric< TFixedImage, TMovingImage >:

Detailed Description

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

Compares Histograms between two images to be registered to a Training Histogram.

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

This metric computes the similarity between the histogram produced by two images overlapping and a training histogram.

It is to be sub-classed by the method of comparing the histograms.

Generally, the histogram from the training data is to be computed in exactly the same way as the histogram from the images to be compared are computed. Thus, the user can set the interpolator, region, two training images and the transfrom and the training histogram will be formed. OR, the user can simply calculate the training histogram seperately and set it.

Warning:: The Initialize function does nothing if the training histogram already exists. Thus repeated calls to the Initialize function do nothing after the first call. If you wish the training histogram to be re-calculated, you should set it to 0.

Author:: Samson Timoner.

Definition at line 53 of file itkCompareHistogramImageToImageMetric.h.

Member Typedef Documentation

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

Definition at line 453 of file itkOptImageToImageMetric.h.

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 464 of file itkOptImageToImageMetric.h.

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

Definition at line 456 of file itkOptImageToImageMetric.h.

typedef BSplineTransformType::ParameterIndexArrayType itk::ImageToImageMetric< TFixedImage , TMovingImage >::BSplineTransformIndexArrayType [protected, inherited]

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

Definition at line 448 of file itkOptImageToImageMetric.h.

typedef Array2D<IndexValueType> itk::ImageToImageMetric< TFixedImage , TMovingImage >::BSplineTransformIndicesArrayType [protected, inherited]

Definition at line 450 of file itkOptImageToImageMetric.h.

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

Definition at line 441 of file itkOptImageToImageMetric.h.

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

Definition at line 445 of file itkOptImageToImageMetric.h.

typedef BSplineTransformType::WeightsType itk::ImageToImageMetric< TFixedImage , TMovingImage >::BSplineTransformWeightsType [protected, inherited]

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

Definition at line 443 of file itkOptImageToImageMetric.h.

template<class TFixedImage, class TMovingImage>

typedef SmartPointer<const Self> itk::CompareHistogramImageToImageMetric< TFixedImage, TMovingImage >::ConstPointer

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

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

Definition at line 61 of file itkCompareHistogramImageToImageMetric.h.

typedef Superclass::ParametersValueType itk::ImageToImageMetric< TFixedImage , TMovingImage >::CoordinateRepresentationType [inherited]

Type used for representing point components

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

Definition at line 69 of file itkOptImageToImageMetric.h.

typedef Superclass::ParametersValueType itk::ImageToImageMetric< TFixedImage , TMovingImage >::CoordinateRepresentationType [inherited]

Type used for representing point components

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

Definition at line 70 of file itkImageToImageMetric.h.

typedef CentralDifferenceImageFunction<MovingImageType, CoordinateRepresentationType> itk::ImageToImageMetric< TFixedImage , TMovingImage >::DerivativeFunctionType [protected, inherited]

Typedefs for using central difference calculator.

Definition at line 469 of file itkOptImageToImageMetric.h.

template<class TFixedImage, class TMovingImage>

typedef Superclass::DerivativeType itk::CompareHistogramImageToImageMetric< TFixedImage, TMovingImage >::DerivativeType

Type of the derivative.

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

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

Definition at line 79 of file itkCompareHistogramImageToImageMetric.h.

template<class TFixedImage, class TMovingImage>

typedef Superclass::FixedImageConstPointer itk::CompareHistogramImageToImageMetric< TFixedImage, TMovingImage >::FixedImageConstPointer

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

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

Definition at line 82 of file itkCompareHistogramImageToImageMetric.h.

typedef Superclass::FixedImageConstPointer itk::HistogramImageToImageMetric< TFixedImage , TMovingImage >::FixedImageConstPointerType [inherited]

Definition at line 67 of file itkHistogramImageToImageMetric.h.

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

Definition at line 113 of file itkOptImageToImageMetric.h.

typedef FixedImageType::IndexType itk::ImageToImageMetric< TFixedImage , TMovingImage >::FixedImageIndexType [inherited]

Index and Point typedef support.

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

Definition at line 107 of file itkOptImageToImageMetric.h.

typedef FixedImageIndexType::IndexValueType itk::ImageToImageMetric< TFixedImage , TMovingImage >::FixedImageIndexValueType [inherited]

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

Definition at line 108 of file itkOptImageToImageMetric.h.

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

Definition at line 145 of file itkOptImageToImageMetric.h.

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

Definition at line 137 of file itkImageToImageMetric.h.

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

Definition at line 144 of file itkOptImageToImageMetric.h.

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

Definition at line 136 of file itkImageToImageMetric.h.

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.

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.

typedef Superclass::FixedImageType::PixelType itk::HistogramImageToImageMetric< TFixedImage , TMovingImage >::FixedImagePixelType [inherited]

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

Definition at line 63 of file itkHistogramImageToImageMetric.h.

typedef TransformType::InputPointType itk::ImageToImageMetric< TFixedImage , TMovingImage >::FixedImagePointType [inherited]

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

Definition at line 110 of file itkOptImageToImageMetric.h.

template<class TFixedImage, class TMovingImage>

typedef Superclass::FixedImageRegionType itk::CompareHistogramImageToImageMetric< TFixedImage, TMovingImage >::FixedImageRegionType

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

Definition at line 104 of file itkCompareHistogramImageToImageMetric.h.

typedef std::vector<FixedImageSamplePoint> itk::ImageToImageMetric< TFixedImage , TMovingImage >::FixedImageSampleContainer [protected, inherited]

FixedImageSamplePoint typedef support.

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

Definition at line 373 of file itkOptImageToImageMetric.h.

template<class TFixedImage, class TMovingImage>

typedef Superclass::FixedImageType itk::CompareHistogramImageToImageMetric< TFixedImage, TMovingImage >::FixedImageType

Type of the fixed Image.

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

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

Definition at line 80 of file itkCompareHistogramImageToImageMetric.h.

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.

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.

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.

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.

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.

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.

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.

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 Superclass::GradientPixelType itk::CompareHistogramImageToImageMetric< TFixedImage, TMovingImage >::GradientPixelType

Gaussian filter to compute the gradient of the Moving Image

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

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

Definition at line 76 of file itkCompareHistogramImageToImageMetric.h.

template<class TFixedImage, class TMovingImage>

typedef HistogramType::FrequencyType itk::CompareHistogramImageToImageMetric< TFixedImage, TMovingImage >::HistogramAbsoluteFrequencyType

Definition at line 93 of file itkCompareHistogramImageToImageMetric.h.

template<class TFixedImage, class TMovingImage>

typedef HistogramAbsoluteFrequencyType itk::CompareHistogramImageToImageMetric< TFixedImage, TMovingImage >::HistogramFrequencyType

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

Definition at line 95 of file itkCompareHistogramImageToImageMetric.h.

template<class TFixedImage, class TMovingImage>

typedef HistogramType::Iterator itk::CompareHistogramImageToImageMetric< TFixedImage, TMovingImage >::HistogramIteratorType

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

Definition at line 97 of file itkCompareHistogramImageToImageMetric.h.

template<class TFixedImage, class TMovingImage>

typedef HistogramType::MeasurementVectorType itk::CompareHistogramImageToImageMetric< TFixedImage, TMovingImage >::HistogramMeasurementVectorType

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

Definition at line 89 of file itkCompareHistogramImageToImageMetric.h.

typedef HistogramType::Pointer itk::HistogramImageToImageMetric< TFixedImage , TMovingImage >::HistogramPointer [inherited]

Definition at line 82 of file itkHistogramImageToImageMetric.h.

template<class TFixedImage, class TMovingImage>

typedef HistogramType::Pointer itk::CompareHistogramImageToImageMetric< TFixedImage, TMovingImage >::HistogramPointerType

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

Definition at line 98 of file itkCompareHistogramImageToImageMetric.h.

template<class TFixedImage, class TMovingImage>

typedef Superclass::HistogramSizeType itk::CompareHistogramImageToImageMetric< TFixedImage, TMovingImage >::HistogramSizeType

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

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

Definition at line 87 of file itkCompareHistogramImageToImageMetric.h.

template<class TFixedImage, class TMovingImage>

typedef Superclass::HistogramType itk::CompareHistogramImageToImageMetric< 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::HistogramImageToImageMetric< TFixedImage, TMovingImage >.

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

Definition at line 86 of file itkCompareHistogramImageToImageMetric.h.

typedef CovariantVector< double, itkGetStaticConstMacro(MovingImageDimension) > itk::ImageToImageMetric< TFixedImage , TMovingImage >::ImageDerivativesType [protected, inherited]

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

Definition at line 472 of file itkOptImageToImageMetric.h.

typedef BSplineTransformIndexArrayType::ValueType itk::ImageToImageMetric< TFixedImage , TMovingImage >::IndexValueType [protected, inherited]

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

Definition at line 449 of file itkOptImageToImageMetric.h.

typedef Superclass::InputPointType itk::HistogramImageToImageMetric< TFixedImage , TMovingImage >::InputPointType [inherited]

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

Definition at line 58 of file itkHistogramImageToImageMetric.h.

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::CompareHistogramImageToImageMetric< TFixedImage, TMovingImage >::InterpolatorPointer

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

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

Definition at line 101 of file itkCompareHistogramImageToImageMetric.h.

template<class TFixedImage, class TMovingImage>

typedef Superclass::InterpolatorType itk::CompareHistogramImageToImageMetric< TFixedImage, TMovingImage >::InterpolatorType

Type of the Interpolator Base class

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

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

Definition at line 100 of file itkCompareHistogramImageToImageMetric.h.

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::CompareHistogramImageToImageMetric< TFixedImage, TMovingImage >::MeasureType

Type of the measure.

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

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

Definition at line 78 of file itkCompareHistogramImageToImageMetric.h.

template<class TFixedImage, class TMovingImage>

typedef Superclass::MovingImageConstPointer itk::CompareHistogramImageToImageMetric< TFixedImage, TMovingImage >::MovingImageConstPointer

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

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

Definition at line 84 of file itkCompareHistogramImageToImageMetric.h.

typedef Superclass::MovingImageConstPointer itk::HistogramImageToImageMetric< TFixedImage , TMovingImage >::MovingImageConstPointerType [inherited]

Definition at line 69 of file itkHistogramImageToImageMetric.h.

typedef MovingImageType::IndexType itk::ImageToImageMetric< TFixedImage , TMovingImage >::MovingImageIndexType [inherited]

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

Definition at line 109 of file itkOptImageToImageMetric.h.

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

Definition at line 152 of file itkOptImageToImageMetric.h.

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

Definition at line 145 of file itkImageToImageMetric.h.

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

Definition at line 151 of file itkOptImageToImageMetric.h.

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

Definition at line 144 of file itkImageToImageMetric.h.

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.

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.

typedef Superclass::MovingImageType::PixelType itk::HistogramImageToImageMetric< TFixedImage , TMovingImage >::MovingImagePixelType [inherited]

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

Definition at line 65 of file itkHistogramImageToImageMetric.h.

typedef std::vector<MovingImagePointType> itk::ImageToImageMetric< TFixedImage , TMovingImage >::MovingImagePointArrayType [protected, inherited]

Definition at line 452 of file itkOptImageToImageMetric.h.

typedef TransformType::OutputPointType itk::ImageToImageMetric< TFixedImage , TMovingImage >::MovingImagePointType [inherited]

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

Definition at line 111 of file itkOptImageToImageMetric.h.

template<class TFixedImage, class TMovingImage>

typedef Superclass::MovingImageType itk::CompareHistogramImageToImageMetric< TFixedImage, TMovingImage >::MovingImageType

Type of the moving Image.

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

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

Definition at line 81 of file itkCompareHistogramImageToImageMetric.h.

typedef MultiThreader itk::ImageToImageMetric< TFixedImage , TMovingImage >::MultiThreaderType [protected, inherited]

Types and variables related to multi-threading

Definition at line 528 of file itkOptImageToImageMetric.h.

typedef Superclass::OutputPointType itk::HistogramImageToImageMetric< TFixedImage , TMovingImage >::OutputPointType [inherited]

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

Definition at line 59 of file itkHistogramImageToImageMetric.h.

typedef Superclass::ParametersType itk::ImageToImageMetric< TFixedImage , TMovingImage >::ParametersType [inherited]

Type of the parameters.

Reimplemented from itk::SingleValuedCostFunction.

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

Definition at line 162 of file itkOptImageToImageMetric.h.

typedef Superclass::ParametersType itk::ImageToImageMetric< TFixedImage , TMovingImage >::ParametersType [inherited]

Type of the parameters.

Reimplemented from itk::SingleValuedCostFunction.

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

Definition at line 155 of file itkImageToImageMetric.h.

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::CompareHistogramImageToImageMetric< TFixedImage, TMovingImage >::Pointer

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

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

Definition at line 60 of file itkCompareHistogramImageToImageMetric.h.

template<class TFixedImage, class TMovingImage>

typedef Superclass::RealType itk::CompareHistogramImageToImageMetric< TFixedImage, TMovingImage >::RealType

Types transferred from the base class

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

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

Definition at line 65 of file itkCompareHistogramImageToImageMetric.h.

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 CompareHistogramImageToImageMetric itk::CompareHistogramImageToImageMetric< TFixedImage, TMovingImage >::Self

Standard class typedefs.

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

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

Definition at line 58 of file itkCompareHistogramImageToImageMetric.h.

template<class TFixedImage, class TMovingImage>

typedef HistogramImageToImageMetric<TFixedImage, TMovingImage> itk::CompareHistogramImageToImageMetric< TFixedImage, TMovingImage >::Superclass

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

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

Definition at line 59 of file itkCompareHistogramImageToImageMetric.h.

template<class TFixedImage, class TMovingImage>

typedef TransformType::ConstPointer itk::CompareHistogramImageToImageMetric< TFixedImage, TMovingImage >::TransformConstPointer

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

Definition at line 71 of file itkCompareHistogramImageToImageMetric.h.

template<class TFixedImage, class TMovingImage>

typedef Superclass::TransformJacobianType itk::CompareHistogramImageToImageMetric< TFixedImage, TMovingImage >::TransformJacobianType

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

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

Definition at line 75 of file itkCompareHistogramImageToImageMetric.h.

template<class TFixedImage, class TMovingImage>

typedef Superclass::TransformParametersType itk::CompareHistogramImageToImageMetric< TFixedImage, TMovingImage >::TransformParametersType

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

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

Definition at line 74 of file itkCompareHistogramImageToImageMetric.h.

template<class TFixedImage, class TMovingImage>

typedef Superclass::TransformPointer itk::CompareHistogramImageToImageMetric< TFixedImage, TMovingImage >::TransformPointer

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

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

Definition at line 70 of file itkCompareHistogramImageToImageMetric.h.

template<class TFixedImage, class TMovingImage>

typedef Superclass::TransformType itk::CompareHistogramImageToImageMetric< TFixedImage, TMovingImage >::TransformType

Type of the Transform Base class

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

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

Definition at line 69 of file itkCompareHistogramImageToImageMetric.h.

typedef BSplineTransformWeightsType::ValueType itk::ImageToImageMetric< TFixedImage , TMovingImage >::WeightsValueType [protected, inherited]

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

Definition at line 444 of file itkOptImageToImageMetric.h.

Constructor & Destructor Documentation

template<class TFixedImage, class TMovingImage>

itk::CompareHistogramImageToImageMetric< TFixedImage, TMovingImage >::CompareHistogramImageToImageMetric ( ) [protected]

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

template<class TFixedImage, class TMovingImage>

virtual itk::CompareHistogramImageToImageMetric< TFixedImage, TMovingImage >::~CompareHistogramImageToImageMetric ( ) [inline, protected, virtual]

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

Definition at line 154 of file itkCompareHistogramImageToImageMetric.h.

Member Function Documentation

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

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

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

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

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 >.

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 >.

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

Set/Get gradient computation.

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

Set/Get gradient computation.

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

Set/Get gradient computation.

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

Set/Get gradient computation.

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.

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.

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.

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]

Create an object from an instance, potentially deferring to a factory. This method allows you to create an instance of an object that is exactly the same type as the referring object. This is useful in cases where an object has been cast back to a base class.

Reimplemented from itk::LightObject.

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.

virtual MeasureType itk::HistogramImageToImageMetric< TFixedImage , TMovingImage >::EvaluateMeasure ( HistogramType & histogram ) const [protected, pure virtual, inherited]

Evaluates the similarity measure using the given histogram. All subclasses must reimplement this method.

Implemented in itk::CorrelationCoefficientHistogramImageToImageMetric< TFixedImage, TMovingImage >, itk::MeanSquaresHistogramImageToImageMetric< TFixedImage, TMovingImage >, itk::MutualInformationHistogramImageToImageMetric< TFixedImage, TMovingImage >, and itk::NormalizedMutualInformationHistogramImageToImageMetric< TFixedImage, TMovingImage >.

template<class TFixedImage, class TMovingImage>

virtual MeasureType itk::CompareHistogramImageToImageMetric< TFixedImage, TMovingImage >::EvaluateMeasure ( HistogramType & histogram ) const [protected, pure virtual]

Evaluates the comparison histogram metric. All sub-classes must re-implement method.

Implemented in itk::KullbackLeiblerCompareHistogramImageToImageMetric< TFixedImage, TMovingImage >.

template<class TFixedImage, class TMovingImage>

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

Form the Histogram for the Training data

Reimplemented in itk::KullbackLeiblerCompareHistogramImageToImageMetric< 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.

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

Set/Get gradient computation.

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.

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::ImageToSpatialObjectMetric< TFixedImage, TMovingSpatialObject >, itk::MattesMutualInformationImageToImageMetric< TFixedImage, TMovingImage >, itk::MRIBiasEnergyFunction< TImage, TImageMask, TBiasField >, itk::MutualInformationImageToImageMetric< TFixedImage, TMovingImage >, itk::ShapePriorMAPCostFunctionBase< TFeatureImage, TOutputPixel >, itk::Statistics::GoodnessOfFitMixtureModelCostFunction< TInputSample >, itk::MattesMutualInformationImageToImageMetric< TFixedImage, TMovingImage >, itk::MeanSquaresImageToImageMetric< TFixedImage, TMovingImage >, and itk::ShapePriorMAPCostFunctionBase< TFeatureImage, TOutputPixel >.

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

Get the derivatives of the match measure.

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

Returns the step length used to calculate the derivative.

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

Returns the derivate step length scales.

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

Get the Fixed Image.

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

Get the Fixed Image.

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

Set/Get the fixed image mask.

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

Set/Get the fixed image mask.

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

Get the region over which the metric will be computed

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

Get the region over which the metric will be computed

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.

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

Get Gradient Image.

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

Get Gradient Image.

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.

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

Gets the histogram size.

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

Get a pointer to the Interpolator.

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

Get a pointer to the Interpolator.

const MetaDataDictionary& itk::Object::GetMetaDataDictionary ( void ) const [inherited]

Returns:: A constant reference to this objects MetaDataDictionary.

MetaDataDictionary& itk::Object::GetMetaDataDictionary ( void ) [inherited]

Returns:: A reference to this objects MetaDataDictionary.

Warning:: This reference may be changed.

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

Get the Moving Image.

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

Get the Moving Image.

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

Set/Get the moving image mask.

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.

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

template<class TFixedImage, class TMovingImage>

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

Run-time type information (and related methods).

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

Reimplemented in itk::KullbackLeiblerCompareHistogramImageToImageMetric< TFixedImage, 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.

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::CompareHistogramImageToImageMetric< TFixedImage, TMovingImage >::GetNumberOfParameters ( void ) const [inline, virtual]

Return the number of parameters required by the Transform

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

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

Definition at line 143 of file itkCompareHistogramImageToImageMetric.h.

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

Get the number of pixels considered in the computation.

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

Get the number of pixels considered in the computation.

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.

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 >.

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

Get the Training Fixed Image.

template<class TFixedImage, class TMovingImage>

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

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]

Get the histogram to be used in the metric calculation

template<class TFixedImage, class TMovingImage>

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

Get a pointer to the Interpolator.

template<class TFixedImage, class TMovingImage>

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

Get the Training Moving Image.

template<class TFixedImage, class TMovingImage>

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

Get a pointer to the Transform.

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

Get a pointer to the Transform.

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

Get a pointer to the Transform.

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

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 >.

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 >.

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

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

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.

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.

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::ImageToSpatialObjectMetric< TFixedImage, TMovingSpatialObject >, itk::MattesMutualInformationImageToImageMetric< TFixedImage, TMovingImage >, itk::MRIBiasEnergyFunction< TImage, TImageMask, TBiasField >, itk::MutualInformationImageToImageMetric< TFixedImage, TMovingImage >, itk::ShapePriorMAPCostFunctionBase< TFeatureImage, TOutputPixel >, itk::Statistics::GoodnessOfFitMixtureModelCostFunction< TInputSample >, itk::MattesMutualInformationImageToImageMetric< TFixedImage, TMovingImage >, itk::MeanSquaresImageToImageMetric< TFixedImage, TMovingImage >, and itk::ShapePriorMAPCostFunctionBase< TFeatureImage, TOutputPixel >.

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

Get the value for single 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.

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

Get value and derivatives for multiple valued optimizers.

static ITK_THREAD_RETURN_TYPE itk::ImageToImageMetric< TFixedImage , TMovingImage >::GetValueAndDerivativeMultiThreaded ( void * arg ) [static, protected, inherited]

void itk::ImageToImageMetric< TFixedImage , TMovingImage >::GetValueAndDerivativeMultiThreadedInitiate ( void ) const [protected, inherited]

static ITK_THREAD_RETURN_TYPE itk::ImageToImageMetric< TFixedImage , TMovingImage >::GetValueAndDerivativeMultiThreadedPostProcess ( void * arg ) [static, protected, inherited]

void itk::ImageToImageMetric< TFixedImage , TMovingImage >::GetValueAndDerivativeMultiThreadedPostProcessInitiate ( void ) const [protected, inherited]

static ITK_THREAD_RETURN_TYPE itk::ImageToImageMetric< TFixedImage , TMovingImage >::GetValueAndDerivativeMultiThreadedPreProcess ( void * arg ) [static, protected, inherited]

void itk::ImageToImageMetric< TFixedImage , TMovingImage >::GetValueAndDerivativeMultiThreadedPreProcessInitiate ( void ) const [protected, inherited]

virtual void itk::ImageToImageMetric< TFixedImage , TMovingImage >::GetValueAndDerivativeThread ( unsigned int threadID ) const [inline, protected, virtual, inherited]

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

Definition at line 583 of file itkOptImageToImageMetric.h.

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

Definition at line 572 of file itkOptImageToImageMetric.h.

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

Definition at line 576 of file itkOptImageToImageMetric.h.

static ITK_THREAD_RETURN_TYPE itk::ImageToImageMetric< TFixedImage , TMovingImage >::GetValueMultiThreaded ( void * arg ) [static, protected, inherited]

void itk::ImageToImageMetric< TFixedImage , TMovingImage >::GetValueMultiThreadedInitiate ( void ) const [protected, inherited]

static ITK_THREAD_RETURN_TYPE itk::ImageToImageMetric< TFixedImage , TMovingImage >::GetValueMultiThreadedPostProcess ( void * arg ) [static, protected, inherited]

void itk::ImageToImageMetric< TFixedImage , TMovingImage >::GetValueMultiThreadedPostProcessInitiate ( void ) const [protected, inherited]

static ITK_THREAD_RETURN_TYPE itk::ImageToImageMetric< TFixedImage , TMovingImage >::GetValueMultiThreadedPreProcess ( void * arg ) [static, protected, inherited]

void itk::ImageToImageMetric< TFixedImage , TMovingImage >::GetValueMultiThreadedPreProcessInitiate ( void ) const [protected, inherited]

virtual void itk::ImageToImageMetric< TFixedImage , TMovingImage >::GetValueThread ( unsigned int threadID ) const [inline, protected, virtual, inherited]

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

Definition at line 559 of file itkOptImageToImageMetric.h.

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

Definition at line 549 of file itkOptImageToImageMetric.h.

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

Definition at line 553 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::CompareHistogramImageToImageMetric< 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::HistogramImageToImageMetric< TFixedImage, TMovingImage >.

Reimplemented in itk::KullbackLeiblerCompareHistogramImageToImageMetric< 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.

itk::ImageToImageMetric< TFixedImage , TMovingImage >::itkStaticConstMacro	(	DeformationSplineOrder	,
		unsigned	int,
		3
	)			`[protected, inherited]`

itk::ImageToImageMetric< TFixedImage , TMovingImage >::itkStaticConstMacro	(	FixedImageDimension	,
		unsigned	int,
		TFixedImage ::ImageDimension
	)			`[inherited]`

Constants for the image dimensions

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

itk::ImageToImageMetric< TFixedImage , TMovingImage >::itkStaticConstMacro	(	MovingImageDimension	,
		unsigned	int,
		TMovingImage ::ImageDimension
	)			`[inherited]`

Constants for the image dimensions

itk::ImageToImageMetric< TFixedImage , TMovingImage >::itkStaticConstMacro	(	FixedImageDimension	,
		unsigned	int,
		TFixedImage ::ImageDimension
	)			`[inherited]`

Constants for the image dimensions

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

itk::ImageToImageMetric< TFixedImage , TMovingImage >::itkStaticConstMacro	(	MovingImageDimension	,
		unsigned	int,
		TMovingImage ::ImageDimension
	)			`[inherited]`

Constants for the image dimensions

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.

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

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

Initialize the components related to supporting multiple threads

static Pointer itk::Object::New ( ) [static, inherited]

Method for creation through the object factory.

Reimplemented from itk::LightObject.

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::CompareHistogramImageToImageMetric< 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::HistogramImageToImageMetric< TFixedImage, TMovingImage >.

Reimplemented in itk::KullbackLeiblerCompareHistogramImageToImageMetric< 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.

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::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 >.

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

Remove all observers .

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

Remove the observer with this tag value.

virtual void itk::ImageToImageMetric< TFixedImage , TMovingImage >::SampleFixedImageDomain ( FixedImageSampleContainer & samples ) const [protected, virtual, inherited]

Uniformly select a sample set from the fixed image domain.

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

virtual void itk::ImageToImageMetric< TFixedImage , TMovingImage >::SampleFullFixedImageDomain ( FixedImageSampleContainer & samples ) const [protected, virtual, inherited]

Gather all the pixels from the fixed image domain.

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

Set/Get gradient computation.

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.

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

Sets the step length used to calculate the derivative.

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

Sets the derivative step length scales.

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

Connect the Fixed Image.

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

Connect the Fixed Image.

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

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

Set/Get the fixed image mask.

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

Set/Get the fixed image mask.

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

Set/Get the fixed image mask.

Definition at line 206 of file itkImageToImageMetric.h.

References itk::ImageToImageMetric< TFixedImage, TMovingImage >::SetFixedImageMask().

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

Set/Get the fixed image mask.

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

Set the region over which the metric will be computed

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

Set the region over which the metric will be computed

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().

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

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

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

Connect the Interpolator.

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

Connect the Interpolator.

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

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

Connect the Moving Image.

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

Connect the Moving Image.

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

Set/Get the moving image mask.

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

Set/Get the moving image mask.

virtual void itk::ImageToImageMetric< TFixedImage , TMovingImage >::SetMovingImageMask ( const MovingImageMaskType * mask ) [inline, virtual, inherited]

Set/Get the moving image mask.

Definition at line 195 of file itkImageToImageMetric.h.

References itk::ImageToImageMetric< TFixedImage, TMovingImage >::SetMovingImageMask().

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

Set/Get the moving image mask.

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.

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.

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

Set/Get number of threads to use for computations.

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]

Set the Training Fixed Image.

template<class TFixedImage, class TMovingImage>

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

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]

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]

Set the Interpolator.

template<class TFixedImage, class TMovingImage>

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

Set the Training Moving Image.

template<class TFixedImage, class TMovingImage>

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

Set the Training Transform.

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

Connect the Transform.

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

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

Set the parameters defining the Transform.

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

Set the parameters defining the Transform.

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.

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

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 >.

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 >.

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

void itk::ImageToImageMetric< TFixedImage , TMovingImage >::SetUseFixedImageSamplesIntensityThreshold ( bool useThresh ) [inherited]

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.

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.

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

Synchronizes the threader transforms with the transform member variable.

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.

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.

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.

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.

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 >.

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

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

Pointer to BSplineInterpolator.

Definition at line 513 of file itkOptImageToImageMetric.h.

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

Definition at line 482 of file itkOptImageToImageMetric.h.

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

Definition at line 479 of file itkOptImageToImageMetric.h.

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

Definition at line 475 of file itkOptImageToImageMetric.h.

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

Definition at line 487 of file itkOptImageToImageMetric.h.

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

Definition at line 478 of file itkOptImageToImageMetric.h.

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

Definition at line 486 of file itkOptImageToImageMetric.h.

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

Definition at line 477 of file itkOptImageToImageMetric.h.

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

Definition at line 248 of file itkImageToImageMetric.h.

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

Pointer to central difference calculator.

Definition at line 516 of file itkOptImageToImageMetric.h.

FixedImageConstPointer itk::ImageToImageMetric< TFixedImage , TMovingImage >::m_FixedImage [protected, inherited]

Definition at line 242 of file itkImageToImageMetric.h.

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

Definition at line 367 of file itkOptImageToImageMetric.h.

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

Definition at line 412 of file itkOptImageToImageMetric.h.

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

Definition at line 255 of file itkImageToImageMetric.h.

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 386 of file itkOptImageToImageMetric.h.

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

Definition at line 370 of file itkOptImageToImageMetric.h.

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

Definition at line 249 of file itkImageToImageMetric.h.

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

The histogram size.

Definition at line 164 of file itkHistogramImageToImageMetric.h.

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

Definition at line 246 of file itkImageToImageMetric.h.

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

Boolean to indicate if the interpolator BSpline.

Definition at line 510 of file itkOptImageToImageMetric.h.

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.

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.

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

Definition at line 243 of file itkImageToImageMetric.h.

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

Definition at line 413 of file itkOptImageToImageMetric.h.

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

Definition at line 256 of file itkImageToImageMetric.h.

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

Definition at line 391 of file itkOptImageToImageMetric.h.

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

Definition at line 388 of file itkOptImageToImageMetric.h.

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

Definition at line 240 of file itkImageToImageMetric.h.

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

Definition at line 415 of file itkOptImageToImageMetric.h.

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 435 of file itkOptImageToImageMetric.h.

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

Definition at line 389 of file itkOptImageToImageMetric.h.

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

Definition at line 422 of file itkOptImageToImageMetric.h.

InternalReferenceCountType itk::LightObject::m_ReferenceCount [mutable, protected, inherited]

Number of uses of this object by other objects.

Definition at line 144 of file itkLightObject.h.

SimpleFastMutexLock itk::LightObject::m_ReferenceCountLock [mutable, protected, inherited]

Mutex lock to protect modification to the reference count

Definition at line 147 of file itkLightObject.h.

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

Definition at line 420 of file itkOptImageToImageMetric.h.

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

Definition at line 535 of file itkOptImageToImageMetric.h.

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

Definition at line 490 of file itkOptImageToImageMetric.h.

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

Definition at line 489 of file itkOptImageToImageMetric.h.

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

Definition at line 537 of file itkOptImageToImageMetric.h.

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

Definition at line 536 of file itkOptImageToImageMetric.h.

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 405 of file itkOptImageToImageMetric.h.

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.

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 431 of file itkOptImageToImageMetric.h.

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.

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

The increase in the upper bound.

Definition at line 177 of file itkHistogramImageToImageMetric.h.

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.

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

Definition at line 417 of file itkOptImageToImageMetric.h.

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

Definition at line 485 of file itkOptImageToImageMetric.h.

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

Definition at line 366 of file itkOptImageToImageMetric.h.

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

Definition at line 369 of file itkOptImageToImageMetric.h.

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

Definition at line 418 of file itkOptImageToImageMetric.h.

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

Definition at line 480 of file itkOptImageToImageMetric.h.

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

Definition at line 539 of file itkOptImageToImageMetric.h.

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

Definition at line 538 of file itkOptImageToImageMetric.h.

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

itkCompareHistogramImageToImageMetric.h


Public Types
typedef SmartPointer< const Self >	ConstPointer
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 HistogramAbsoluteFrequencyType	HistogramFrequencyType
typedef HistogramType::Iterator	HistogramIteratorType
typedef HistogramType::MeasurementVectorType	HistogramMeasurementVectorType
typedef HistogramType::Pointer	HistogramPointer
typedef HistogramType::Pointer	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 Superclass::OutputPointType	OutputPointType
typedef Superclass::ParametersType	ParametersType
typedef Superclass::ParametersType	ParametersType
typedef double	ParametersValueType
typedef SmartPointer< Self >	Pointer
typedef Superclass::RealType	RealType
typedef Array< double >	ScalesType
typedef CompareHistogramImageToImageMetric	Self
typedef HistogramImageToImageMetric < TFixedImage, TMovingImage >	Superclass
typedef TransformType::ConstPointer	TransformConstPointer
typedef Superclass::TransformJacobianType	TransformJacobianType
typedef Superclass::TransformParametersType	TransformParametersType
typedef Superclass::TransformPointer	TransformPointer
typedef Superclass::TransformType	TransformType

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

typedef GradientImageFilterType::Pointer	GradientImageFilterPointer
typedef GradientRecursiveGaussianImageFilter < MovingImageType, GradientImageType >	GradientImageFilterType
typedef SmartPointer < GradientImageType >	GradientImagePointer
typedef Image < GradientPixelType, itkGetStaticConstMacro(MovingImageDimension)>	GradientImageType
Public Member Functions
virtual void	ComputeGradient (void)
virtual void	ComputeGradient ()
virtual LightObject::Pointer	CreateAnother () const
virtual void	DebugOff () const
virtual void	DebugOn () const
virtual void	Delete ()
Command *	GetCommand (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 ScalesType &	GetDerivativeStepLengthScales ()
virtual const FixedImageType *	GetFixedImage ()
virtual const FixedImageType *	GetFixedImage ()
virtual const FixedImageRegionType &	GetFixedImageRegion ()
virtual const FixedImageRegionType &	GetFixedImageRegion ()
virtual const GradientImageType *	GetGradientImage ()
virtual const GradientImageType *	GetGradientImage ()
virtual const HistogramPointer &	GetHistogram ()
virtual const HistogramSizeType &	GetHistogramSize ()
virtual const InterpolatorType *	GetInterpolator ()
virtual const InterpolatorType *	GetInterpolator ()
const MetaDataDictionary &	GetMetaDataDictionary (void) const
MetaDataDictionary &	GetMetaDataDictionary (void)
virtual const MovingImageType *	GetMovingImage ()
virtual const MovingImageType *	GetMovingImage ()
virtual unsigned long	GetMTime () const
virtual const char *	GetNameOfClass () const
unsigned int	GetNumberOfParameters (void) const
virtual const unsigned long &	GetNumberOfPixelsCounted ()
virtual const FixedImagePixelType &	GetPaddingValue ()
virtual int	GetReferenceCount () const
virtual const FixedImageType *	GetTrainingFixedImage ()
virtual const FixedImageRegionType &	GetTrainingFixedImageRegion ()
virtual const HistogramPointerType &	GetTrainingHistogram ()
virtual InterpolatorType *	GetTrainingInterpolator ()
virtual const MovingImageType *	GetTrainingMovingImage ()
virtual TransformType *	GetTrainingTransform ()
virtual const TransformType *	GetTransform ()
virtual const TransformType *	GetTransform ()
virtual const bool &	GetUseFixedImageSamplesIntensityThreshold ()
virtual MeasureType	GetValue (const ParametersType &parameters) const =0
MeasureType	GetValue (const TransformParametersType &parameters) const
void	GetValueAndDerivative (const TransformParametersType &parameters, MeasureType &Value, DerivativeType &Derivative) const
bool	HasObserver (const EventObject &event) const
void	Initialize () throw (ExceptionObject)
void	InvokeEvent (const EventObject &) const
void	InvokeEvent (const EventObject &)
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	SetFixedImage (const FixedImageType *_arg)
virtual void	SetFixedImage (const FixedImageType *_arg)
void	SetFixedImageRegion (const FixedImageRegionType reg)
virtual void	SetFixedImageRegion (FixedImageRegionType _arg)
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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

	itkStaticConstMacro (FixedImageDimension, unsigned int, TFixedImage::ImageDimension)
	itkStaticConstMacro (MovingImageDimension, unsigned int, TMovingImage::ImageDimension)

	itkStaticConstMacro (FixedImageDimension, unsigned int, TFixedImage::ImageDimension)
	itkStaticConstMacro (MovingImageDimension, unsigned int, TMovingImage::ImageDimension)

void	ReinitializeSeed (int seed)
void	ReinitializeSeed ()
Static Public Member Functions
static void	BreakOnError ()
static Pointer	New ()

static bool	GetGlobalWarningDisplay ()
static void	GlobalWarningDisplayOff ()
static void	GlobalWarningDisplayOn ()
static void	SetGlobalWarningDisplay (bool flag)
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< IndexValueType >	BSplineTransformIndicesArrayType
typedef BSplineDeformableTransform < CoordinateRepresentationType,::itk::GetImageDimension < FixedImageType > ::ImageDimension, itkGetStaticConstMacro(DeformationSplineOrder) >	BSplineTransformType
typedef Array2D< WeightsValueType >	BSplineTransformWeightsArrayType
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 MultiThreader	MultiThreaderType
typedef BSplineTransformWeightsType::ValueType	WeightsValueType

typedef int	InternalReferenceCountType
Protected Member Functions
void	ComputeHistogram (const TransformParametersType &parameters, unsigned int parameter, double step, HistogramType &histogram) const
void	ComputeHistogram (const TransformParametersType &parameters, 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 =0
virtual MeasureType	EvaluateMeasure (HistogramType &histogram) const =0
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
	itkStaticConstMacro (DeformationSplineOrder, unsigned int, 3)
virtual void	PreComputeTransformValues (void)
bool	PrintObservers (std::ostream &os, Indent indent) const
virtual void	SampleFixedImageDomain (FixedImageSampleContainer &samples) const
virtual void	SampleFixedImageIndexes (FixedImageSampleContainer &samples) const
virtual void	SampleFullFixedImageDomain (FixedImageSampleContainer &samples) const
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

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

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
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
MovingImageMaskConstPointer	m_MovingImageMask
MovingImageMaskPointer	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
BSplineTransformIndexArrayType *	m_ThreaderBSplineTransformIndices
BSplineTransformWeightsType *	m_ThreaderBSplineTransformWeights
unsigned int *	m_ThreaderNumberOfMovingImageSamples
MultiThreaderParameterType	m_ThreaderParameter
TransformPointer *	m_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

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

Public Types

Public Member Functions

Static Public Member Functions

Protected Types

Protected Member Functions

Static Protected Member Functions

Protected Attributes

Detailed Description

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

Member Typedef Documentation

Constructor & Destructor Documentation

Member Function Documentation

Member Data Documentation

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

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