Orfeo Toolbox
4.2

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 pointset and a fixed pointset. A vector of minimum closest point distance is created for each point in the moving pointset. No correspondance is needed. For speed consideration, the pointset with the minimum number of points should be used as the moving pointset. 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...  
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.