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

doi:10.1109/TIP.2013.2249076

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 journal › Article › peer-review

Original language	English
Pages (from-to)	2385-2397
Number of pages	13
Journal	IEEE Transactions on Image Processing
Volume	22
Issue number	6
DOIs	https://doi.org/10.1109/TIP.2013.2249076
Publication status	Published - 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

Access to Document

10.1109/TIP.2013.2249076

Cite this

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

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",

author = "Marcelo Pereyra and Nicolas Dobigeon and Hadj Batatia and Jean-Yves Tourneret",

year = "2013",

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journal = "IEEE Transactions on Image Processing",

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AU - Pereyra, Marcelo

AU - Dobigeon, Nicolas

AU - Batatia, Hadj

AU - Tourneret, Jean-Yves

PY - 2013/6

Y1 - 2013/6

KW - 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, APPROXIMAT

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DO - 10.1109/TIP.2013.2249076

M3 - Article

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SN - 1057-7149

VL - 22

SP - 2385

EP - 2397

JO - IEEE Transactions on Image Processing

JF - IEEE Transactions on Image Processing

IS - 6

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