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...
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| class | itk::ANTSNeighborhoodCorrelationImageToImageMetricv4DenseGetValueAndDerivativeThreader< TImageToImageMetric, TNeighborhoodCorrelationMetric > |
| | Processes points for NeighborhoodScanningWindow calculation. More...
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| class | itk::CorrelationImageToImageMetricv4< TFixedImage, TMovingImage, TVirtualImage > |
| | Class implementing normalized cross correlation image metric. More...
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| class | itk::CorrelationImageToImageMetricv4GetValueAndDerivativeThreader< TDomainPartitioner, TImageToImageMetric, TCorrelationMetric > |
| | Processes points for CorrelationImageToImageMetricv4 GetValueAndDerivative. More...
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| class | itk::EuclideanDistancePointSetToPointSetMetricv4< TFixedPointSet, TMovingPointSet > |
| | Computes the Euclidan distance metric between two point sets. More...
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| class | itk::ExpectationBasedPointSetToPointSetMetricv4< TFixedPointSet, TMovingPointSet > |
| | Computes an expectation-based metric between two point sets. More...
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| class | itk::ImageToImageMetricv4< TFixedImage, TMovingImage, TVirtualImage > |
| class | itk::ImageToImageMetricv4GetValueAndDerivativeThreader< TDomainPartitioner, TImageToImageMetricv4 > |
| | Provides threading for ImageToImageMetricv4::GetValueAndDerivative. More...
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| class | itk::ImageToImageMetricv4GetValueAndDerivativeThreaderBase< TDomainPartitioner, TImageToImageMetricv4 > |
| | Provides threading for ImageToImageMetricv4::GetValueAndDerivative. More...
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| class | itk::JensenHavrdaCharvatTsallisPointSetToPointSetMetricv4< TPointSet > |
| | Implementation of the Jensen Havrda Charvat Tsallis Point Set metric. More...
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| class | itk::JointHistogramMutualInformationComputeJointPDFThreader< TDomainPartitioner, TJointHistogramMetric > |
| | Provide a threaded computation of the joint PDF for JointHistogramMutualInformationImageToImageMetricv4. More...
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| class | itk::JointHistogramMutualInformationComputeJointPDFThreaderBase< TDomainPartitioner, TJointHistogramMetric > |
| | Comput the JointPDF image. More...
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| class | itk::JointHistogramMutualInformationGetValueAndDerivativeThreader< TDomainPartitioner, TImageToImageMetric, TJointHistogramMetric > |
| | Processes points for JointHistogramMutualInformationImageToImageMetricv4 GetValueAndDerivative(). More...
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| class | JointHistogramMutualInformationImageToImageMetric |
| | Computes the mutual information between two images to be registered using the method of Mattes et al. More...
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| class | itk::ManifoldParzenWindowsPointSetFunction< TPointSet, TOutput, TCoordRep > |
| | Point set function based on n-dimensional parzen windowing. More...
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| class | itk::MattesMutualInformationImageToImageMetricv4< TFixedImage, TMovingImage, TVirtualImage > |
| | Computes the mutual information between two images to be registered using the method of Mattes et al. More...
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| class | itk::MattesMutualInformationImageToImageMetricv4GetValueAndDerivativeThreader< TDomainPartitioner, TImageToImageMetric, TMattesMutualInformationMetric > |
| | Processes points for MattesMutualInformationImageToImageMetricv4 GetValueAndDerivative. More...
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| class | itk::MeanSquaresImageToImageMetricv4< TFixedImage, TMovingImage, TVirtualImage > |
| | Class implementing a mean squares metric. More...
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| class | itk::MeanSquaresImageToImageMetricv4GetValueAndDerivativeThreader< TDomainPartitioner, TImageToImageMetric, TMeanSquaresMetric > |
| | Processes points for MeanSquaresImageToImageMetricv4 GetValueAndDerivative. More...
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| class | itk::PointSetFunction< TInputPointSet, TOutput, TCoordRep > |
| | Evaluates a function of an image at specified position. More...
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| class | itk::PointSetToPointSetMetricv4< TFixedPointSet, TMovingPointSet > |
| | Computes similarity between two point sets. More...
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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.
Collaboration diagram for Module ITKMetricsv4:
1.7.6.1
