影像纹理分类的马尔可夫随机场方法与试验研究

黄桂兰; 郑肇葆

doi:10.11834/jig.19990476

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影像纹理分类的马尔可夫随机场方法与试验研究
Investigation of Image Texture Classification with the Use of Markov Random Field
1999年4卷第4期页码：317
纸质出版：1999
DOI： 10.11834/jig.19990476
稿件说明：

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黄桂兰, 郑肇葆. 影像纹理分类的马尔可夫随机场方法与试验研究[J]. 中国图象图形学报, 1999,4(4):317. DOI： 10.11834/jig.19990476.

Investigation of Image Texture Classification with the Use of Markov Random Field[J]. Journal of Image and Graphics, 1999, 4(4): 317. DOI： 10.11834/jig.19990476.

摘要

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。

Abstract

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.