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A morphological estimator for clique potentials of binary Markov random fields
Journal article   Peer reviewed

A morphological estimator for clique potentials of binary Markov random fields

K Sivakumar and J Goutsias
IEEE signal processing letters, Vol.7(5), pp.120-122
05/2000
Handle:
https://hdl.handle.net/2376/116650

Abstract

Maximum likelihood estimation Parameter estimation Image analysis Monte Carlo methods Two dimensional displays Stochastic processes Robustness Image texture analysis Markov random fields Morphological operations
The authors consider the problem of estimating the parameters of a binary Markov random field from a given realization. They propose a consistent estimator of the clique potentials that can be implemented by means of morphological erosions. Experimental results demonstrate the effectiveness of the proposed approach.

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