Supervised Image Segmentation Using Markov Random Fields

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This is the sample implementation of a Markov random field based image segmentation algorithm described in the following papers: 1. 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. 2. 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. 3. Zoltan Kato. Modélisations markoviennes multirésolutions en vision par ordinateur. Application a` la segmentation d'images SPOT. PhD Thesis, INRIA, Sophia Antipolis, France, December 1994. Note: Available in French (follow the URL link) and English. .

Csaba Gradwohl, Zoltan Kato

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Markov Random Fields (MRF) | Segmentation | Simulated Annealing |

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Added	12 May 2010
Updated	12 May 2010
Authors	Csaba Gradwohl, Zoltan Kato
OS	All OS
Language	C++

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Supervised Image Segmentation Using Markov Random Fields

Markov Random Fields (MRF) | Segmentation | Simulated Annealing |

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