ITK  5.0.0
Insight Segmentation and Registration Toolkit
Classes
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.