A theoretical analysis of Monte Carlo algorithms for the simulation of Gibbs random field images

DOI10.1109/18.104322zbMath0739.60094OpenAlexW2132327947MaRDI QIDQ3987456

John Goutsias

Publication date: 28 June 1992

Published in: IEEE Transactions on Information Theory (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1109/18.104322

zbMATH Keywords

rate of convergencerelative entropystochastic simulationsMonte Carlo algorithmsimage modelingGibbs random field

Mathematics Subject Classification ID

Random fields (60G60) Monte Carlo methods (65C05) Interacting random processes; statistical mechanics type models; percolation theory (60K35)

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