Classes |
| class | itk::AccumulateImageFilter< TInputImage, TOutputImage > |
| | Implements an accumulation of an image along a selected direction. More...
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| class | itk::AdaptiveHistogramEqualizationImageFilter< TImageType > |
| | Power Law Adaptive Histogram Equalization. More...
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| class | itk::BinaryProjectionImageFilter< TInputImage, TOutputImage > |
| | Binary projection. More...
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| class | itk::GetAverageSliceImageFilter< TInputImage, TOutputImage > |
| | Averages a single dimension of an image. More...
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| class | itk::HistogramAlgorithmBase< TInputHistogram > |
| | base class for algorithms operating on histograms More...
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| class | itk::ImageMomentsCalculator< TImage > |
| | Compute moments of an n-dimensional image. More...
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| class | itk::ImagePCADecompositionCalculator< TInputImage, TBasisImage > |
| | Decomposes an image into directions along basis components. More...
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| class | itk::ImagePCAShapeModelEstimator< TInputImage, TOutputImage > |
| | Base class for ImagePCAShapeModelEstimator object. More...
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| class | itk::ImageShapeModelEstimatorBase< TInputImage, TOutputImage > |
| | Base class for statistical shape model estimation. More...
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| 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...
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| class | itk::LabelOverlapMeasuresImageFilter< TLabelImage >::LabelSetMeasures |
| | Metrics stored per label. More...
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| class | itk::LabelStatisticsImageFilter< TInputImage, TLabelImage >::LabelStatistics |
| | Statistics stored per label. More...
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| 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...
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| class | itk::MaximumProjectionImageFilter< TInputImage, TOutputImage > |
| | Maximum projection. More...
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| class | itk::MeanProjectionImageFilter< TInputImage, TOutputImage, TAccumulate > |
| | Mean projection. More...
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| class | itk::MedianProjectionImageFilter< TInputImage, TOutputImage > |
| | Median projection. More...
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| class | itk::MinimumMaximumImageFilter< TInputImage > |
| | Computes the minimum and the maximum intensity values of an image. More...
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| class | itk::MinimumProjectionImageFilter< TInputImage, TOutputImage > |
| | Minimum projection. More...
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| class | itk::ProjectionImageFilter< TInputImage, TOutputImage, TAccumulator > |
| | Implements an accumulation of an image along a selected direction. More...
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| class | itk::StandardDeviationProjectionImageFilter< TInputImage, TOutputImage, TAccumulate > |
| | Mean projection. More...
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| class | itk::StatisticsImageFilter< TInputImage > |
| | Compute min. max, variance and mean of an Image. More...
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| class | itk::SumProjectionImageFilter< TInputImage, TOutputImage > |
| | Sum projection. More...
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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.
Collaboration diagram for Module ITKImageStatistics:
1.7.6.1
