EM procedures using mean field-like approximations for Markov model-based image segmentation

DOI10.1016/S0031-3203(02)00027-4zbMath1010.68158OpenAlexW2076364662WikidataQ60568875 ScholiaQ60568875MaRDI QIDQ1856651

Gilles Celeux, Nathalie Peyrard, Florence Forbes

Publication date: 11 February 2003

Published in: Pattern Recognition (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/s0031-3203(02)00027-4

zbMATH Keywords

EM algorithmimage segmentationmean field approximationpseudo-likelihoodICM algorithmhidden Markov random fieldssimulated field

Mathematics Subject Classification ID

Computing methodologies for image processing (68U10) Pattern recognition, speech recognition (68T10)

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• Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images
• Estimation of parameters in hidden Markov models
• The mean field theory in EM procedures for Markov random fields
• Markov Random Fields with Higher-order Interactions

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