ITK  5.3.0
Insight Toolkit
Classes
Module ITKClassifiers
+ Collaboration diagram for Module ITKClassifiers:

Classes

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.

Dependencies: