Similarity Metrics of Registration Methods

Collaboration diagram for Similarity Metrics of Registration Methods:

Classes
class	itk::CompareHistogramImageToImageMetric< TFixedImage, TMovingImage >
class	itk::CorrelationCoefficientHistogramImageToImageMetric< TFixedImage, TMovingImage >
class	itk::EuclideanDistancePointMetric< TFixedPointSet, TMovingPointSet, TDistanceMap >
class	itk::GradientDifferenceImageToImageMetric< TFixedImage, TMovingImage >
class	itk::HistogramImageToImageMetric< TFixedImage, TMovingImage >
class	itk::ImageToImageMetric< TFixedImage, TMovingImage >
class	itk::KappaStatisticImageToImageMetric< TFixedImage, TMovingImage >
class	itk::KullbackLeiblerCompareHistogramImageToImageMetric< TFixedImage, TMovingImage >
class	itk::MatchCardinalityImageToImageMetric< TFixedImage, TMovingImage >
class	itk::MattesMutualInformationImageToImageMetric< TFixedImage, TMovingImage >
class	itk::MeanReciprocalSquareDifferenceImageToImageMetric< TFixedImage, TMovingImage >
class	itk::MeanReciprocalSquareDifferencePointSetToImageMetric< TFixedPointSet, TMovingImage >
class	itk::MeanSquaresHistogramImageToImageMetric< TFixedImage, TMovingImage >
class	itk::MeanSquaresPointSetToImageMetric< TFixedPointSet, TMovingImage >
class	itk::MutualInformationHistogramImageToImageMetric< TFixedImage, TMovingImage >
class	itk::MutualInformationImageToImageMetric< TFixedImage, TMovingImage >
class	itk::NormalizedCorrelationImageToImageMetric< TFixedImage, TMovingImage >
class	itk::NormalizedCorrelationPointSetToImageMetric< TFixedPointSet, TMovingImage >
class	itk::NormalizedCorrelationTwoImageToOneImageMetric< TFixedImage, TMovingImage >
class	itk::NormalizedMutualInformationHistogramImageToImageMetric< TFixedImage, TMovingImage >
class	itk::PointSetToImageMetric< TFixedPointSet, TMovingImage >
class	itk::PointSetToPointSetMetric< TFixedPointSet, TMovingPointSet >
class	itk::TwoImageToOneImageMetric< TFixedImage, TMovingImage >

Detailed Description

Similarity metrics are the objects that evaluate how similar two objects are. They are used in registration to quantify how well a transform is mapping the reference object on top of the target object.