dlr::computerVision::SegmenterFelzenszwalb Class Reference

This class implements the image segmentation algorithm described [1]. More...

#include <segmenterFelzenszwalb.h>

List of all members.

Public Member Functions
	SegmenterFelzenszwalb (float k=200.0f, float sigma=0.8f, size_t minSegmentSize=20)
virtual Array2D< UnsignedInt32 >	getLabelArray ()
virtual Array2D< UnsignedInt32 >	getLabelArray (UnsignedInt32 &numberOfSegments, std::vector< size_t > &segmentSizes)
template<ImageFormat FORMAT>
void	segment (const Image< FORMAT > &inputImage)
Protected Types
typedef privateCode::DisjointSet < float >	Segment
Protected Member Functions
float	getCost (const Segment &C_i, const Segment &C_j)
std::vector < SegmenterFelzenszwalb::Edge >	getEdges (const Image< GRAY_FLOAT32 > &inImage)
void	setEdge (Edge &edge, size_t index0, size_t index1, Image< GRAY_FLOAT32 > inImage)
void	updateCost (Segment &C_i, float weight)
Protected Attributes
numeric::Index2D	m_imageSize
float	m_k
size_t	m_minimumSegmentSize
numeric::Array1D< Segment >	m_segmentation
float	m_sigma
size_t	m_smoothSize
Classes
struct	Edge

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Detailed Description

This class implements the image segmentation algorithm described [1].

Essentially grouping pixels based on local differences so that segmented regions have similar local variances.

[1] Felzenszwalb, P., and Huttenlocher, D., Efficient Graph-Based Image Segmentation, International Journal of Computer Vision, Volume 59, Number 2, September 2004.

Definition at line 39 of file segmenterFelzenszwalb.h.

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

• segmenterFelzenszwalb.h
• segmenterFelzenszwalb.cpp