ITK  4.1.0
Insight Segmentation and Registration Toolkit
Classes
Module ITKMetricsv4
Group Registration
+ 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::ANTSNeighborhoodCorrelationImageToImageMetricv4DenseGetValueAndDerivativeThreader< TImageToImageMetric, TNeighborhoodCorrelationMetric >
 Processes points for NeighborhoodScanningWindow calculation. 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::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 >
class  itk::ImageToImageMetricv4GetValueAndDerivativeThreader< TDomainPartitioner, TImageToImageMetricv4 >
 Provides threading for ImageToImageMetricv4::GetValueAndDerivative. More...
class  itk::ImageToImageMetricv4GetValueAndDerivativeThreaderBase< TDomainPartitioner, TImageToImageMetricv4 >
 Provides threading for ImageToImageMetricv4::GetValueAndDerivative. More...
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::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 >
 Class implementing a mean squares metric. More...
class  itk::MeanSquaresImageToImageMetricv4GetValueAndDerivativeThreader< TDomainPartitioner, TImageToImageMetric, TMeanSquaresMetric >
 Processes points for MeanSquaresImageToImageMetricv4 GetValueAndDerivative. 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...

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: