%0 Journal Article
%T The survey of fuzzy clustering method for image segmentation<br>图像分割中的模糊聚类方法
%A Li Xuchao
%A Liu Haikuan
%A Wang Fei
%A Bai Chunyan
%A <br>李旭超
%A 刘海宽
%A 王飞
%A 白春艳
%J 中国图象图形学报
%D 2012
%I 
%X The fuzzy c-means (FCM) clustering algorithm for image segmentation is one of the striking research fields in recent decades.Based on the analysis of the FCM algorithm,we combine the current application research in image segmentation,and we analyze and compare it in terms of measuring the expressions of the FCM algorithm.In this paper,through three aspects,such as single-resolution,multi-resolution,and the integration of other algorithms,the advantages and disadvantages of the improved FCM algorithms are expounded.In the end,some challenges and possible trends are discussed.
%K fuzzy C-means clustering
%K image segmentation
%K objective function
%K the degree of membership<br>模糊C均值聚类
%K 图像分割
%K 目标函数
%K 隶属度
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=D06194629680C940ACE75262F54B9D85&aid=F5538A1A32709A30927AE64F2E45676A&yid=99E9153A83D4CB11&vid=BCA2697F357F2001&iid=E158A972A605785F&sid=C66DE7562B0326E2&eid=D9202C57BAB9096F&journal_id=1006-8961&journal_name=中国图象图形学报&referenced_num=0&reference_num=50