%0 Journal Article
%T Application of clustering and improved C-V evolution equation in medical image segmentation<br>结合聚类和改进的C-V演化方程在医学图像分割中的应用
%A LUO Zhi-hong
%A FENG Guo-can
%A CHENG Qiu-sheng
%A <br>罗
%A 冯国灿
%A 成秋生
%J 计算机应用
%D 2008
%I 
%X A class of improved C-V evolution equation based on classical C-V model was proposed in this paper. It integrated with k-means clustering to segment pathological tissue of Brain CT and MRI, and satisfactory results were obtained. Specially, experimental result of a synthetic image shows that the proposed method is more accurate and robust than some traditional evolution equations.
%K active contour model
%K level set
%K image segmentation
%K k-means clustering<br>活动轮廓模型
%K 水平集
%K 图像分割
%K k-means聚类
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=831E194C147C78FAAFCC50BC7ADD1732&aid=8CF42DE158D30923C63FDC8EDE969B91&yid=67289AFF6305E306&vid=D3E34374A0D77D7F&iid=9CF7A0430CBB2DFD&sid=BB9EE916CDC6128E&eid=8B30EADB51481F94&journal_id=1001-9081&journal_name=计算机应用&referenced_num=1&reference_num=11