Module ITKMetricsv4

Collaboration diagram for Module ITKMetricsv4:

Classes
class	itk::ANTSNeighborhoodCorrelationImageToImageMetricv4< TFixedImage, TMovingImage, TVirtualImage >
	Computes normalized cross correlation using a small neighborhood for each voxel between two images, with speed optimizations for dense registration. More...
class	itk::ANTSNeighborhoodCorrelationImageToImageMetricv4GetValueAndDerivativeThreader< TDomainPartitioner, TImageToImageMetric, TNeighborhoodCorrelationMetric >
	Threading implementation for ANTS CC metric ANTSNeighborhoodCorrelationImageToImageMetricv4 . Supports both dense and sparse threading ways. The dense threader iterates over the whole image domain in order and use a neighborhood scanning window to compute the local cross correlation metric and its derivative incrementally inside the window. The sparse threader uses a sampled point set partitioner to computer local cross correlation only at the sampled positions. More...
class	itk::CorrelationImageToImageMetricv4< TFixedImage, TMovingImage, TVirtualImage >
	Class implementing normalized cross correlation image metric. More...
class	itk::CorrelationImageToImageMetricv4GetValueAndDerivativeThreader< TDomainPartitioner, TImageToImageMetric, TCorrelationMetric >
	Processes points for CorrelationImageToImageMetricv4 GetValueAndDerivative. More...
class	itk::DefaultImageToImageMetricTraitsv4< TFixedImageType, TMovingImageType, TVirtualImageType, TCoordRep >
	A simple structure holding type information for ImageToImageMetricv4 classes. More...
class	itk::DemonsImageToImageMetricv4< TFixedImage, TMovingImage, TVirtualImage >
	Class implementing demons metric. More...
class	itk::DemonsImageToImageMetricv4GetValueAndDerivativeThreader< TDomainPartitioner, TImageToImageMetric, TDemonsMetric >
	Processes points for DemonsImageToImageMetricv4 GetValueAndDerivative. More...
class	itk::EuclideanDistancePointSetToPointSetMetricv4< TFixedPointSet, TMovingPointSet >
	Computes the Euclidan distance metric between two point sets. More...
class	itk::ExpectationBasedPointSetToPointSetMetricv4< TFixedPointSet, TMovingPointSet >
	Computes an expectation-based metric between two point sets. More...
class	itk::ImageToImageMetricv4< TFixedImage, TMovingImage, TVirtualImage, TMetricTraits >
class	itk::ImageToImageMetricv4GetValueAndDerivativeThreader< TDomainPartitioner, TImageToImageMetricv4 >
	Provides threading for ImageToImageMetricv4::GetValueAndDerivative. More...
class	itk::ImageToImageMetricv4GetValueAndDerivativeThreaderBase< TDomainPartitioner, TImageToImageMetricv4 >
	Provides threading for ImageToImageMetricv4::GetValueAndDerivative. More...
struct	itk::CorrelationImageToImageMetricv4GetValueAndDerivativeThreader< TDomainPartitioner, TImageToImageMetric, TCorrelationMetric >::InternalCumSumType
class	itk::JensenHavrdaCharvatTsallisPointSetToPointSetMetricv4< TPointSet >
	Implementation of the Jensen Havrda Charvat Tsallis Point Set metric. More...
class	itk::JointHistogramMutualInformationComputeJointPDFThreader< TDomainPartitioner, TJointHistogramMetric >
	Provide a threaded computation of the joint PDF for JointHistogramMutualInformationImageToImageMetricv4. More...
class	itk::JointHistogramMutualInformationComputeJointPDFThreaderBase< TDomainPartitioner, TJointHistogramMetric >
	Comput the JointPDF image. More...
class	itk::JointHistogramMutualInformationGetValueAndDerivativeThreader< TDomainPartitioner, TImageToImageMetric, TJointHistogramMetric >
	Processes points for JointHistogramMutualInformationImageToImageMetricv4 GetValueAndDerivative(). More...
class	JointHistogramMutualInformationImageToImageMetric
	Computes the mutual information between two images to be registered using the method of Mattes et al. More...
class	itk::LabeledPointSetToPointSetMetricv4< TFixedPointSet, TMovingPointSet >
	Computes the distance metric and gradient between two labeled point sets. More...
class	itk::ManifoldParzenWindowsPointSetFunction< TPointSet, TOutput, TCoordRep >
	Point set function based on n-dimensional parzen windowing. More...
class	itk::MattesMutualInformationImageToImageMetricv4< TFixedImage, TMovingImage, TVirtualImage >
	Computes the mutual information between two images to be registered using the method of Mattes et al. More...
class	itk::MattesMutualInformationImageToImageMetricv4GetValueAndDerivativeThreader< TDomainPartitioner, TImageToImageMetric, TMattesMutualInformationMetric >
	Processes points for MattesMutualInformationImageToImageMetricv4 GetValueAndDerivative. More...
class	itk::MeanSquaresImageToImageMetricv4< TFixedImage, TMovingImage, TVirtualImage, TMetricTraits >
	Class implementing a mean squares metric. More...
class	itk::MeanSquaresImageToImageMetricv4GetValueAndDerivativeThreader< TDomainPartitioner, TImageToImageMetric, TMeanSquaresMetric >
	Processes points for MeanSquaresImageToImageMetricv4 GetValueAndDerivative. More...
class	itk::ObjectToObjectMultiMetricv4< TFixedDimension, TMovingDimension, TVirtualImage >
	This class takes one ore more ObjectToObject metrics and assigns weights to their derivatives to compute a single result. More...
class	itk::PointSetFunction< TInputPointSet, TOutput, TCoordRep >
	Evaluates a function of an image at specified position. More...
class	itk::PointSetToPointSetMetricv4< TFixedPointSet, TMovingPointSet >
	Computes similarity between two point sets. More...
struct	itk::ANTSNeighborhoodCorrelationImageToImageMetricv4GetValueAndDerivativeThreader< TDomainPartitioner, TImageToImageMetric, TNeighborhoodCorrelationMetric >::ScanMemType
struct	itk::ANTSNeighborhoodCorrelationImageToImageMetricv4GetValueAndDerivativeThreader< TDomainPartitioner, TImageToImageMetric, TNeighborhoodCorrelationMetric >::ScanParametersType
class	itk::VectorImageToImageMetricTraitsv4< TFixedImageType, TMovingImageType, TVirtualImageType, NumberOfComponents, TCoordRep >
	A simple structure holding type information for ImageToImageMetricv4 classes. More...

Detailed Description

This module contains ITK metric classes using a new hierarchy developed for the needs of registration with high-dimensional transforms. These metrics will NOT work with the optimizers in Numerics/Optimizers, but rather with the new optimizers in Numerics/Optimizersv4.

Dependencies:

• Module ITKOptimizersv4
• Module ITKRegistrationCommon