On a parameter estimation method for Gibbs-Markov random fields
Gürelli, M. I.
IEEE Transactions on Pattern Analysis and Machine Intelligence
424 - 430
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This correspondence is about a Gibbs-Markov random field (GMRF) parameter estimation technique proposed by Derin and Elliott. We will refer to this technique as the histogramming (H) method. First, the relation of the H method to the (conditional) maximum likelihood (ML) method is considered. Second, a bias-reduction based modification of the H method is proposed to improve its performance, especially in the case of small amounts of image data.
KeywordsGibbs-Markov random fields
Bias reduction based modification
Gibbs Markov random fields
Maximum likelihood method