Similarity Metrics of Registration Methods

Collaboration diagram for Similarity Metrics of Registration Methods:

Classes
class	itk::CompareHistogramImageToImageMetric< TFixedImage, TMovingImage >
	Compares Histograms between two images to be registered to a Training Histogram. More...
class	itk::CorrelationCoefficientHistogramImageToImageMetric< TFixedImage, TMovingImage >
	Computes correlation coefficient similarity measure between two images to be registered. More...
class	itk::EuclideanDistancePointMetric< TFixedPointSet, TMovingPointSet, TDistanceMap >
	Computes the minimum distance between a moving point-set and a fixed point-set. A vector of minimum closest point distance is created for each point in the moving point-set. No correspondance is needed. For speed consideration, the point-set with the minimum number of points should be used as the moving point-set. If the number of points is high, the possibility of setting a distance map should improve the speed of the closest point computation. More...
class	itk::GradientDifferenceImageToImageMetric< TFixedImage, TMovingImage >
	Computes similarity between two objects to be registered. More...
class	itk::HistogramImageToImageMetric< TFixedImage, TMovingImage >
	Computes similarity between two objects to be registered. More...
class	itk::ImageToImageMetric< TFixedImage, TMovingImage >
	Computes similarity between regions of two images. More...
class	itk::KappaStatisticImageToImageMetric< TFixedImage, TMovingImage >
	Computes similarity between two binary objects to be registered. More...
class	itk::KullbackLeiblerCompareHistogramImageToImageMetric< TFixedImage, TMovingImage >
	Computes the Kubler Lieblach(KL) metric between the histogram of the two images to be registered and a training histogram. More...
class	itk::MatchCardinalityImageToImageMetric< TFixedImage, TMovingImage >
	Computes similarity between two objects to be registered. More...
class	itk::MattesMutualInformationImageToImageMetric< TFixedImage, TMovingImage >
	Computes the mutual information between two images to be registered using the method of Mattes et al. More...
class	itk::MeanReciprocalSquareDifferenceImageToImageMetric< TFixedImage, TMovingImage >
	Computes similarity between two objects to be registered. More...
class	itk::MeanReciprocalSquareDifferencePointSetToImageMetric< TFixedPointSet, TMovingImage >
	Computes similarity between pixel values of a point set and intensity values in an image. More...
class	itk::MeanSquaresHistogramImageToImageMetric< TFixedImage, TMovingImage >
	Computes mean squared difference similarity measure between two images to be registered. More...
class	itk::MeanSquaresPointSetToImageMetric< TFixedPointSet, TMovingImage >
	Computes similarity between pixel values of a point set and intensity values of an image. More...
class	itk::MutualInformationHistogramImageToImageMetric< TFixedImage, TMovingImage >
	Computes the mutual information between two images to be registered using the histograms of the intensities in the images. This class is templated over the type of the fixed and moving images to be compared. More...
class	itk::MutualInformationImageToImageMetric< TFixedImage, TMovingImage >
	Computes the mutual information between two images to be registered. More...
class	itk::NormalizedCorrelationImageToImageMetric< TFixedImage, TMovingImage >
	Computes similarity between two images to be registered. More...
class	itk::NormalizedCorrelationPointSetToImageMetric< TFixedPointSet, TMovingImage >
	Computes similarity between pixel values of a point set and intensity values of an image. More...
class	itk::NormalizedMutualInformationHistogramImageToImageMetric< TFixedImage, TMovingImage >
	Computes normalized mutual information between two images to be registered using the histograms of the intensities in the images. More...
class	itk::PointSetToImageMetric< TFixedPointSet, TMovingImage >
	Computes similarity between a point set and an image. More...
class	itk::PointSetToPointSetMetric< TFixedPointSet, TMovingPointSet >
	Computes similarity between two point sets. More...

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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.