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<p>This correspondence is about a Gibbs-Markov random field (GMRF) parameter estimation technique proposed by Derin and Elliott (1987). We will refer to this technique as the histogramming (H) method. First, the relation of the H method to the (conditional) maximum likelihood 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.</p>
image processing; image recognition; Markov processes; parameter estimation; parameter estimation; Gibbs-Markov random fields; histogramming method; maximum likelihood method; bias reduction based modification; image modelling; pattern recognition; image processing
L. Onural, M.I. Gürelli, "On a Parameter Estimation Method for Gibbs-Markov Random Fields", IEEE Transactions on Pattern Analysis & Machine Intelligence, vol. 16, no. , pp. 424-430, April 1994, doi:10.1109/34.277597
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