Detailed Description

Segmentation or multiple objects based on a set of gestures.

Given a mask image containing the gestures for foreground classes and their background, employs grow cut segmentation to produce segmentation. Supports passing an existing segmentation with additional gestures for editing a segmentation produced as a result of the same or different algorithm.

The filter is based on the paper "GrowCut:Interactive Multi-Label N-D Image Segmentation By Cellular Automata", Vladimir Vezhnevets, Vadim Konouchine

Modified Version: The inputs consist of the input intensity image, optionally the input Label Image, and the weight image. The Label image and the weight image default to using unsigned chars and double respectively.

This algorithm is implemented scalar images. Vector Images are not supported.

The documentation for this class was generated from the following file:

Libs/vtkITK/itkGrowCutSegmentationImageFilter.h