%0 Journal Article
%T Application of improved FCM for interactive image segmentation<br>改进FCM在交互式图像分割中的应用
%A Yi Yufeng
%A Gao Liqun
%A Guo Li
%A <br>依玉峰
%A 高立群
%A 郭丽
%J 中国图象图形学报
%D 2012
%I 
%X We propose an improved(FCM)approach for interactive image segmentation to solve the problem that the objective contour is easily influenced by natural texture.Users interactively input seed points as clusters centers to get the main feature differences between foreground and background;a global spatial similarity measure model and Gabor energy filters are introduced into the distance metric to measure the similarity between all the pixels and the cluster centers.Edge density is introduced into the definition of the weight factor,according to image features,the ratio of the texture feature and the color feature in the feature space for pixels which can be adaptively calculated,making the feature we calculated more accurately reflect the essential attributes of the image.In this paper,experiments have been carried out on images with natural texture background,and two performance measures were used to compare the proposed algorithm with the random walker(RW)algorithm.It is shown that the accuracy of the proposed method surpasses FCM and RW methods.
%K fuzzy c-means(FCM)
%K image segmentation
%K gabor energy filters
%K edge density
%K random walker<br>模糊C均值聚类
%K 图像分割
%K Gabor能量滤波器
%K 边缘密度
%K 随机游走
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=D06194629680C940ACE75262F54B9D85&aid=0EAA6E0F141A5D8EBD527B719B710E68&yid=99E9153A83D4CB11&vid=BCA2697F357F2001&iid=38B194292C032A66&sid=556C1A86E372B606&eid=375BEEEA164CFE59&journal_id=1006-8961&journal_name=中国图象图形学报&referenced_num=0&reference_num=18