%0 Journal Article
%T An Improved Image Segmentation Method Based on Fuzzy Clustering<br>一种改进的基于模糊聚类的图像分割方法
%A LIU Hua-jun
%A REN Ming-wu
%A YANG Jing-yu
%A <br>刘华军
%A 任明武
%A 杨静宇
%J 中国图象图形学报
%D 2006
%I 
%X An improved spatial relation constrained FCM algorithm is developed in this paper,the spatial neighbor relation between both pixels and between pixel and regions are defined,and the spatial relation matrix between pixel and regions has been constructed.This matrix is constrained to the partition matrix of the classical fuzzy C-Means clustering(FCM) algorithms and the spatial relation constrained FCM algorithm is formed.This algorithm can automatically segment images with fewer parameters comparing to other algorithms of this category.Many experiments are conducted on the avenue images in which the road intensity is inconsistent,and the results show that our segmentation algorithm has better performance to object's consistency for road images with shadows.
%K image segmentation
%K fuzzy clustering
%K spatial relation constraint<br>图像分割
%K 模糊聚类
%K 空间关系约束
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=D06194629680C940ACE75262F54B9D85&aid=337A051A6BE730D4&yid=37904DC365DD7266&vid=708DD6B15D2464E8&iid=9CF7A0430CBB2DFD&sid=2A0592C45C936A61&eid=525C740F5A062BF4&journal_id=1006-8961&journal_name=中国图象图形学报&referenced_num=12&reference_num=13