ITK  5.2.0
Insight Toolkit
Module ITKClassifiers
+ Collaboration diagram for Module ITKClassifiers:


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

Detailed Description

This module contains algorithms to classify pixels in an image. It can be used, for example, to identify pixel membership within a set of tissue types. Different algorithms are available including Bayesian classification, Gaussian models, and K-means clustering. After tissue labels have been assigned, they can be modified and applied with the ITKLabelMap.