ITK  5.4.0
Insight Toolkit
Modules | Classes
+ Collaboration diagram for Pixel Classification Filters:


 Supervised Classification Filters
 Unsupervised Classification Filters


class  itk::BayesianClassifierImageFilter< TInputVectorImage, TLabelsType, TPosteriorsPrecisionType, TPriorsPrecisionType >
class  itk::BayesianClassifierInitializationImageFilter< TInputImage, TProbabilityPrecisionType >
class  itk::ClassifierBase< TDataContainer >
class  itk::ImageGaussianModelEstimator< TInputImage, TMembershipFunction, TTrainingImage >
class  itk::ImageKmeansModelEstimator< TInputImage, TMembershipFunction >
class  itk::ImageModelEstimatorBase< TInputImage, TMembershipFunction >
class  itk::ScalarImageKmeansImageFilter< TInputImage, TOutputImage >

Detailed Description

Pixel classification filters use statistical classification algorithms to assign a label to a given image pixel. Classification algorithms can be supervised when training data is available or unsupervised when no training data is available.