Similarity Metrics of Registration Methods
[Components of Registration Methods]

Collaboration diagram for Similarity Metrics of Registration Methods:

---

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.

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::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::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::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::MeanSquaresImageToImageMetric< TFixedImage, TMovingImage >
	Computes similarity between two objects 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. 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...

---