%0 Journal Article
%T A FCM Based Image Segmentation Algorithm using Multi-color Components<br>基于模糊C均值聚类的多分量彩色图像分割算法
%A BU Juan
%A WANG Xiang-yang
%A SUN Yi-feng
%A <br>卜娟
%A 王向阳
%A 孙艺峰
%J 中国图象图形学报
%D 2008
%I 
%X We propose a FCM based image segmentation algorithm using multi-color components. Firstly,the image is converted from RGB color space to HSI color space,and initial clustering centers of H component and I component are selected according to the data distribution. Then,the FCM algorithm is performed on the H component and I component,and we can obtain the image pixel membership for H component and I component. Finally,two-dimensional image features are constructed with the image pixel membership,and the FCM based image segmentation is performed using two-dimensional image features. Experimental results show that the proposed method is simple and work well for most images,and has better segmentation effect than the existing FCM color image segmentation.
%K image segmentation
%K fuzzy c-means clustering
%K HSI color space
%K image pixel membership<br>图像分割
%K FCM聚类
%K HSI颜色空间
%K 隶属度
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=D06194629680C940ACE75262F54B9D85&aid=31F8EBC388C4BE6B6DB01CA0E34F29E4&yid=67289AFF6305E306&vid=FC0714F8D2EB605D&iid=F3090AE9B60B7ED1&sid=B48969C8F904F346&eid=EFF915813360FB8C&journal_id=1006-8961&journal_name=中国图象图形学报&referenced_num=0&reference_num=12