针对马尔可夫随机场方法用于影像纹理分类进行了探讨。主要探讨了以下三个方面的问题：(1)如何从备选马尔可夫随机场模型中找出最适合的模型；(2)马尔可夫随机场模型参数的估计问题；(3)如何利用马尔可夫随机场模型参数进行影像纹理分类。最后以实际试验情况表明所提出的方法是可行的。

This paper deals with markov random field and it's application in image texture classification.We concerned with three problem:choice of an appropriate model from a class of such competing models;estimation of the unknown paraneters in markov random field models and using parameters to classify images.For the first problem,we use bayes decision rule;for the second problem,we use maximum likelihood estimation methods;for the third problem,we use fuzzy assemble analysis. At last,we did some tests.