%0 Journal Article
%T A Survey of the Markov Random Field Method for Image Segmentation<br>图像分割中的马尔可夫随机场方法综述
%A LI Xu-chao
%A ZHU Shan-an
%A <br>李旭超
%A 朱善安
%J 中国图象图形学报
%D 2007
%I 
%X Markov random field method is a very active research field in image segmentation.This paper introduces the relationship between a general theory based on Markov random field method and the images,and provides a general framework in image segmentation,including the construction of spatial and wavelet domain image models,the selection of the optimization criterion,calculation of the number of labeling,parameter estimation of image models and the realization of image segmentation.The applications of image segmentation are reviewed.And a few possible trends are discussed.
%K markov random field
%K image segmentation
%K bayesian principle
%K parameter estimation<br>马尔可夫随机场
%K 图像分割
%K 贝叶斯准则
%K 参数估计
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=D06194629680C940ACE75262F54B9D85&aid=59AB51C36B56548D&yid=A732AF04DDA03BB3&vid=59906B3B2830C2C5&iid=94C357A881DFC066&sid=7B927C26AC9ED104&eid=B3645A659773B73C&journal_id=1006-8961&journal_name=中国图象图形学报&referenced_num=6&reference_num=50