@booklet {1282, title = {Supervised Image Segmentation Using Markov Random Fields}, year = {2005}, month = {2005///}, abstract = {This is the sample implementation of a Markov random field based image segmentation algorithm described in the following papers: Mark Berthod, Zoltan Kato, Shan Yu, and Josiane Zerubia. Bayesian Image Classification Using Markov Random Fields. Image and Vision Computing, 14:285--295, 1996. Keyword(s): Bayesian image classification, Markov random fields, Optimisation. Zoltan Kato, Josiane Zerubia, and Mark Berthod. Satellite Image Classification Using a Modified Metropolis Dynamics. In Proceedings of International Conference on Acoustics, Speech and Signal Processing, volume 3, San-Francisco, California, USA, pages 573-576, March 1992. IEEE. Zoltan Kato. Mod{\'e}lisations markoviennes multir{\'e}solutions en vision par ordinateur. Application a{\textquoteleft} la segmentation d{\textquoteright}images SPOT. PhD Thesis, INRIA, Sophia Antipolis, France, December 1994. Note: Available in French (follow the URL link) and English. Keyword(s): computer vision, early vision, Markovian model, multiscale model, hierarchical model, parallel combinatorial optimization algorithm, multi-temperature annealing, parameter estimation. }, url = {http://www.inf.u-szeged.hu/~kato/software/mrfdemo.html} }