Similarity Metrics of Registration Methods
[Components of Registration Methods]

Classes
class	CompareHistogramImageToImageMetric
	Compares Histograms between two images to be registered to a Training Histogram. More...
class	CorrelationCoefficientHistogramImageToImageMetric
	Computes correlation coefficient similarity measure between two images to be registered. More...
class	EuclideanDistancePointMetric
	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	GradientDifferenceImageToImageMetric
	Computes similarity between two objects to be registered. More...
class	HistogramImageToImageMetric
	Computes similarity between two objects to be registered. More...
class	ImageToImageMetric
	Computes similarity between regions of two images. More...
class	KappaStatisticImageToImageMetric
	Computes similarity between two binary objects to be registered. More...
class	KullbackLeiblerCompareHistogramImageToImageMetric
	Computes the Kubler Lieblach(KL) metric between the histogram of the two images to be registered and a training histogram. More...
class	MatchCardinalityImageToImageMetric
	Computes similarity between two objects to be registered. More...
class	MattesMutualInformationImageToImageMetric
	Computes the mutual information between two images to be registered using the method of Mattes et al. More...
class	MeanReciprocalSquareDifferenceImageToImageMetric
	Computes similarity between two objects to be registered. More...
class	MeanReciprocalSquareDifferencePointSetToImageMetric
	Computes similarity between pixel values of a point set and intensity values in an image. More...
class	MeanSquaresHistogramImageToImageMetric
	Computes mean squared difference similarity measure between two images to be registered. More...
class	MeanSquaresImageToImageMetric
	Computes similarity between two objects to be registered. More...
class	MeanSquaresPointSetToImageMetric
	Computes similarity between pixel values of a point set and intensity values of an image. More...
class	MutualInformationHistogramImageToImageMetric
	Computes the mutual information between two images to be registered using the histograms of the intensities in the images. More...
class	MutualInformationImageToImageMetric
	Computes the mutual information between two images to be registered. More...
class	NormalizedCorrelationImageToImageMetric
	Computes similarity between two images to be registered. More...
class	NormalizedCorrelationPointSetToImageMetric
	Computes similarity between pixel values of a point set and intensity values of an image. More...
class	NormalizedMutualInformationHistogramImageToImageMetric
	Computes normalized mutual information between two images to be registered using the histograms of the intensities in the images. More...
class	PointSetToImageMetric
	Computes similarity between a point set and an image. More...
class	PointSetToPointSetMetric
	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.

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