Supervised Color Image Segmentation in a Markovian Framework

14 years 6 months ago

Download www.inf.u-szeged.hu

This is the sample implementation of a Markov random field based color image segmentation algorithm described in the following paper: Zoltan Kato, Ting Chuen Pong, and John Chung Mong Lee. Color Image Segmentation and Parameter Estimation in a Markovian Framework. Pattern Recognition Letters, 22(3-4):309--321, March 2001. Note that the current demo program implements only a supervised version of the segmentation method described in the paper (i.e. parameter values are learned interactively from representative regions selected by the user).

Mihaly Gara, Zoltan Kato

Real-time Traffic

Color | Markov Random Fields (MRF) | Segmentation | Texture |

posted by kato

Post Info
More Details (n/a)

Added	12 May 2010
Updated	12 May 2010
Authors	Mihaly Gara, Zoltan Kato
OS	All OS
Language	C++

Comments (0)

	A Multi-Layer MRF Model for Object-Motion Detection in Unregistered Airborne Image-Pairs 367 views
	Content-based image retrieval using stochastic paintbrush transformation 327 views
	A Higher-Order Active Contour Model for Tree Detection 366 views
	Multicue MRF Image Segmentation: Combining Texture and Color Features 377 views
	A Markov Random Field Model for Extracting Near-Circular Shapes 729 views

Sciweavers

Supervised Color Image Segmentation in a Markovian Framework

Color | Markov Random Fields (MRF) | Segmentation | Texture |

Explore & Download

Productivity Tools

Document Tools

Image Tools

Sciweavers