Pixel Classification Filters

Collaboration diagram for Pixel Classification Filters:

Modules
	Supervised Classification Filters
	Unsupervised Classification Filters

Classes
class	itk::BayesianClassifierImageFilter< TInputVectorImage, TLabelsType, TPosteriorsPrecisionType, TPriorsPrecisionType >
	Performs Bayesian Classification on an image. More...
class	itk::BayesianClassifierInitializationImageFilter< TInputImage, TProbabilityPrecisionType >
	This filter is intended to be used as a helper class to initialize the BayesianClassifierImageFilter. More...
class	itk::ClassifierBase< TDataContainer >
	Base class for classifier objects. More...
class	itk::ImageGaussianModelEstimator< TInputImage, TMembershipFunction, TTrainingImage >
	Base class for ImageGaussianModelEstimator object. More...
class	itk::ImageKmeansModelEstimator< TInputImage, TMembershipFunction >
	Base class for ImageKmeansModelEstimator object. More...
class	itk::ImageModelEstimatorBase< TInputImage, TMembershipFunction >
	Base class for model estimation from images used for classification. More...
class	itk::ScalarImageKmeansImageFilter< TInputImage, TOutputImage >
	Classifies the intensity values of a scalar image using the K-Means algorithm. More...

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.