ITK  4.3.0
Insight Segmentation and Registration Toolkit
Classes
Module ITKVoronoi
Group Segmentation
+ Collaboration diagram for Module ITKVoronoi:

Classes

class  itk::VoronoiDiagram2DGenerator< TCoordType >::FortuneEdge
 
class  itk::VoronoiDiagram2DGenerator< TCoordType >::FortuneHalfEdge
 
class  itk::VoronoiDiagram2DGenerator< TCoordType >::FortuneSite
 
class  itk::VoronoiDiagram2D< TCoordType >
 Implements the 2-Dimensional Voronoi Diagram. More...
 
class  itk::VoronoiDiagram2DGenerator< TCoordType >
 Implement the Sweep Line Algorithm for the construction of the 2D Voronoi Diagram. More...
 
class  itk::VoronoiPartitioningImageFilter< TInputImage, TOutputImage >
 
class  itk::VoronoiSegmentationImageFilter< TInputImage, TOutputImage, TBinaryPriorImage >
 
class  itk::VoronoiSegmentationImageFilterBase< TInputImage, TOutputImage, TBinaryPriorImage >
 Base class for VoronoiSegmentationImageFilter. More...
 
class  itk::VoronoiSegmentationRGBImageFilter< TInputImage, TOutputImage >
 

Detailed Description

This module provides classes to perform Voronoi segmentation on scalar or RGB images. Voronoi segmentation is a region based segmentation technique. A Voronoi diagram is created from a set of seed points in the image. Each resulting Voronoi cell is classified as internal or external to the structure of interest based on statistical classification criteria applied to its contents. The boundary of the internal-external regions are iteratively refined by adding seed points to the boundary regions.

Dependencies: