ITK  4.1.0
Insight Segmentation and Registration Toolkit
Classes | Modules
Pixel Classification Filters
Intensity-Based Image Segmentation Filters
+ Collaboration diagram for Pixel 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...

Modules

 Supervised Classification Filters
 Unsupervised Classification Filters

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.