Image Segmentation Filters

Collaboration diagram for Image Segmentation Filters:

Modules
	Intensity-Based Image Segmentation Filters
	Region-Based Segmentation Filters
	Model-Based Image Segmentation Filters
	Hybrid Segmentation Filters

Classes
class	otb::LabelImageRegionMergingFilter< TInputLabelImage, TInputSpectralImage, TOutputLabelImage, TOutputClusteredImage >
class	otb::LabelImageRegionPruningFilter< TInputLabelImage, TInputSpectralImage, TOutputLabelImage, TOutputClusteredImage >
class	otb::LabelImageSmallRegionMergingFilter< TInputLabelImage >
class	otb::MeanShiftSmoothingImageFilter< TInputImage, TOutputImage, TKernel, TOutputIterationImage >
class	otb::PersistentLabelImageSmallRegionMergingFilter< TInputLabelImage >

Detailed Description

Image segmentation filters process an image to partition it into meaningful regions. Various types of image segmentation algorithms are available in ITK - some examples are, unsupervised pixel classification methods, region-growing methods, watershed-based methods, deformable-model based methods, and level-set based methods.