Estimating the Granularity Coefficient of a Potts-Markov Random Field within a Markov Chain Monte Carlo Algorithm

Marcelo Pereyra, Nicolas Dobigeon, Hadj Batatia, Jean-Yves Tourneret

Research output: Contribution to journalArticle

48 Citations (Scopus)
Original languageEnglish
Pages (from-to)2385-2397
Number of pages13
JournalIEEE Transactions on Image Processing
Volume22
Issue number6
DOIs
Publication statusPublished - Jun 2013

Keywords

  • Bayesian estimation, Gibbs sampler, intractable normalizing constants, mixture model, Potts-Markov field, INTRACTABLE NORMALIZING CONSTANTS, SAR IMAGES, UNSUPERVISED SEGMENTATION, BAYESIAN COMPUTATION, MAXIMUM-LIKELIHOOD, MODEL, CLASSIFICATION, APPROXIMATIONS, DISTRIBUTIONS, RESTORATION

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