%0 Journal Article
%T Portrait background segmentation based on improved fuzzy C-Means clustering<br>基于改进的模糊C均值聚类算法的人像照片背景替换
%A WU Li
%A YANG Dong-yong
%A <br>吴黎
%A 杨东勇
%J 计算机应用
%D 2006
%I 
%X Because of the complexity of the portrait images and the heavy calculating burden of the Fuzzy C-Means Clustering(FCM),an improved Fuzzy C-Means Clustering(FFCM) to the portrait background segmentation was applied in this paper.Besides, this paper proposes the method of object selection,it could quickly revert the original portrait object which having been fuzzy segmented,and change the color of the background successfully.
%K image segmentation
%K fuzzy clustering
%K hierarchical clustering
%K object selection<br>图像分割
%K 模糊聚类
%K 分层聚类
%K 图像目标提取
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=831E194C147C78FAAFCC50BC7ADD1732&aid=556A3CFDF4F4DFDC&yid=37904DC365DD7266&vid=96C778EE049EE47D&iid=0B39A22176CE99FB&sid=D1D63D047E37A053&eid=4E69D09D7A972803&journal_id=1001-9081&journal_name=计算机应用&referenced_num=8&reference_num=8