Main Page   Groups   Namespace List   Class Hierarchy   Alphabetical List   Compound List   File List   Namespace Members   Compound Members   File Members   Concepts

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. The goal of this filter is to generate a membership image that indicates the membership of each pixel to each class. These membership images are fed as input to the bayesian classfier filter. More...
class  itk::ClassifierBase< TDataContainer >
 Base class for classifier object. 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.


Generated at Fri Apr 16 20:05:04 2010 for ITK by doxygen 1.6.1 written by Dimitri van Heesch, © 1997-2000