%0 Journal Article
%T Investigation of Image Texture Classification with the Use of Markov Random Field<br>影像纹理分类的马尔可夫随机场方法与试验研究
%A Huang Guilan
%A Zheng Zhaobuo
%A <br>黄桂兰
%A 郑肇葆
%J 中国图象图形学报
%D 1999
%I 
%X 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.
%K Markov random field
%K Texture classification
%K Bayes decision
%K Fuzzy assemble
%K analysis<br>马尔可夫随机场
%K 影像纹理分类
%K 模糊聚类分析
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=D06194629680C940ACE75262F54B9D85&aid=48A44634809F86CDEC0AA19D283A3CBC&yid=B914830F5B1D1078&vid=E158A972A605785F&iid=E158A972A605785F&sid=E3094127AA4ABC1A&eid=3224764AEAFCF8C2&journal_id=1006-8961&journal_name=中国图象图形学报&referenced_num=6&reference_num=1