Module ITKImageStatistics

Collaboration diagram for Module ITKImageStatistics:

Classes
class	itk::AccumulateImageFilter< TInputImage, TOutputImage >
class	itk::AdaptiveHistogramEqualizationImageFilter< TImageType >
class	itk::BinaryProjectionImageFilter< TInputImage, TOutputImage >
class	itk::GetAverageSliceImageFilter< TInputImage, TOutputImage >
class	itk::HistogramAlgorithmBase< TInputHistogram >
class	itk::ImageMomentsCalculator< TImage >
class	itk::ImagePCADecompositionCalculator< TInputImage, TBasisImage >
class	itk::ImagePCAShapeModelEstimator< TInputImage, TOutputImage >
class	itk::ImageShapeModelEstimatorBase< TInputImage, TOutputImage >
class	itk::LabelOverlapMeasuresImageFilter< TLabelImage >
class	itk::LabelOverlapMeasuresImageFilter< TLabelImage >::LabelSetMeasures
class	itk::LabelStatisticsImageFilter< TInputImage, TLabelImage >::LabelStatistics
class	itk::LabelStatisticsImageFilter< TInputImage, TLabelImage >
class	itk::MaximumProjectionImageFilter< TInputImage, TOutputImage >
class	itk::MeanProjectionImageFilter< TInputImage, TOutputImage, TAccumulate >
class	itk::MedianProjectionImageFilter< TInputImage, TOutputImage >
class	itk::MinimumMaximumImageFilter< TInputImage >
class	itk::MinimumProjectionImageFilter< TInputImage, TOutputImage >
class	itk::ProjectionImageFilter< TInputImage, TOutputImage, TAccumulator >
class	itk::StandardDeviationProjectionImageFilter< TInputImage, TOutputImage, TAccumulate >
class	itk::StatisticsImageFilter< TInputImage >
class	itk::SumProjectionImageFilter< TInputImage, TOutputImage >

Detailed Description

This module contains classes that compute statistics on images, or use those statistics to perform image operations. In particular you will find here: how to calculate image moments, minimum maximum values, projections, principal components analysis (PCA) for shape modeling, computation of label statistics and image accumulation.

Dependencies:

• Module ITKImageCompose
• Module ITKImageFilterBase
• Module ITKSpatialObjects
• Module ITKStatistics