%0 Journal Article
%T Graph Cuts segmentation based on Bayesian nonparametric estimation<br>贝叶斯框架下的非参数估计Graph Cuts分割算法
%A Jiang Jianguo
%A Guo Yanrong
%A Hao Shijie
%A Zhan Shu
%A Li Hong
%A Ian Ross
%A <br>蒋建国
%A 郭艳蓉
%A 郝世杰
%A 詹曙
%A 李鸿
%A Ian Ross
%J 中国图象图形学报
%D 2011
%I 
%X Suppose each pixel of an image is a random variable under some kind of probability distribution,according to the Bayes theorem,the segmentation of the original images is equivalent to their maximum a posteriori probability estimation.In this framework,we proposed an improved image segmentation algorithm based on Graph Cuts.The construction of the original Graph Cuts model is improved in two aspects.First,fuzzy C-means clustering is introduced into the energy function of data restriction.With the help of fuz...
%K Graph Cuts
%K Bayesian image segmentation
%K fuzzy C-means
%K nonparametric estimation<br>Graph
%K Cuts
%K 贝叶斯图像分割
%K 模糊C均值
%K 非参数估计
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=D06194629680C940ACE75262F54B9D85&aid=EBF7289B0EEBDC9EB030D92F9B31DF1E&yid=9377ED8094509821&vid=7801E6FC5AE9020C&iid=B31275AF3241DB2D&sid=3005465426CC5B70&eid=793F041A4288469A&journal_id=1006-8961&journal_name=中国图象图形学报&referenced_num=1&reference_num=0