%0 Journal Article
%T Variable-domain approach for color image segmentation based on RGB statistical model<br>基于RGB分量统计的可变区域彩色图像分割算法*
%A WANG Zhi-liang
%A GAO Xiao-liang
%A WANG Lu
%A <br>王志良
%A 高晓亮
%A 王鲁
%J 计算机应用研究
%D 2010
%I 
%X In order to segment color images efficiently, this paper proposed a variable-domain algorithm based on active contour models and global statistical RGB components. Curve evolution was employed for numerical implementation with level sets method. The essential idea was to re-define the computing domain in images repeatedly, by separating the segmentation procedure into several individual phases. The variable domain strategy was extended to color images based on gray-scale algorithm. According to the experimental results, the objects with multiple connection regions can be accurately and rapidly segmented. Compared to current methods, the work can be done automatically without manual intervention and the rapidity is improved evidently.
%K image segmentation
%K color image
%K variable-domain
%K active contours
%K neighborhood replacement
%K statistical model<br>图像分割
%K 彩色图像
%K 可变区域
%K 活动轮廓
%K 邻域替代
%K 统计模型
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=A9D9BE08CDC44144BE8B5685705D3AED&aid=FB6AB332A6B5C3CB0000036DCB719B52&yid=140ECF96957D60B2&vid=DB817633AA4F79B9&iid=708DD6B15D2464E8&sid=4034C9EE0DC9FACD&eid=A07A2603F3C4BCD5&journal_id=1001-3695&journal_name=计算机应用研究&referenced_num=0&reference_num=18