Module ITKImageStatistics

Collaboration diagram for Module ITKImageStatistics:

Classes
class	itk::AccumulateImageFilter< TInputImage, TOutputImage >
	Implements an accumulation of an image along a selected direction. More...
class	itk::AdaptiveHistogramEqualizationImageFilter< TImageType >
	Power Law Adaptive Histogram Equalization. More...
class	itk::BinaryProjectionImageFilter< TInputImage, TOutputImage >
	Binary projection. More...
class	itk::GetAverageSliceImageFilter< TInputImage, TOutputImage >
	Averages a single dimension of an image. More...
class	itk::HistogramAlgorithmBase< TInputHistogram >
	base class for algorithms operating on histograms More...
class	itk::ImageMomentsCalculator< TImage >
	Compute moments of an n-dimensional image. More...
class	itk::ImagePCADecompositionCalculator< TInputImage, TBasisImage >
	Decomposes an image into directions along basis components. More...
class	itk::ImagePCAShapeModelEstimator< TInputImage, TOutputImage >
	Base class for ImagePCAShapeModelEstimator object. More...
class	itk::ImageShapeModelEstimatorBase< TInputImage, TOutputImage >
	Base class for statistical shape model estimation. More...
class	itk::LabelOverlapMeasuresImageFilter< TLabelImage >
	Computes overlap measures between the set same set of labels of pixels of two images. Background is assumed to be 0. More...
class	itk::LabelOverlapMeasuresImageFilter< TLabelImage >::LabelSetMeasures
	Metrics stored per label . More...
class	itk::LabelStatisticsImageFilter< TInputImage, TLabelImage >::LabelStatistics
	Statistics stored per label . More...
class	itk::LabelStatisticsImageFilter< TInputImage, TLabelImage >
	Given an intensity image and a label map, compute min, max, variance and mean of the pixels associated with each label or segment. More...
class	itk::MaximumProjectionImageFilter< TInputImage, TOutputImage >
	Maximum projection. More...
class	itk::MeanProjectionImageFilter< TInputImage, TOutputImage, TAccumulate >
	Mean projection. More...
class	itk::MedianProjectionImageFilter< TInputImage, TOutputImage >
	Median projection. More...
class	itk::MinimumMaximumImageFilter< TInputImage >
	Computes the minimum and the maximum intensity values of an image. More...
class	itk::MinimumProjectionImageFilter< TInputImage, TOutputImage >
	Minimum projection. More...
class	itk::ProjectionImageFilter< TInputImage, TOutputImage, TAccumulator >
	Implements an accumulation of an image along a selected direction. More...
class	itk::StandardDeviationProjectionImageFilter< TInputImage, TOutputImage, TAccumulate >
	Mean projection. More...
class	itk::StatisticsImageFilter< TInputImage >
	Compute min. max, variance and mean of an Image. More...
class	itk::SumProjectionImageFilter< TInputImage, TOutputImage >
	Sum projection. More...

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:

Classes

Detailed Description