Investigation of Image Texture Classification with the Use of Markov Random Field
影像纹理分类的马尔可夫随机场方法与试验研究

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.