%0 Journal Article
%T Improved GAC model for medical image sequence<br>引入新的停止函数的GAC模型医学图像序列分割
%A GAO Shi-rui
%A HOU Yu-qing
%A ZHANG Hai-bo
%A CHENG Xing-hong
%A <br>高士瑞
%A 侯榆青
%A 张海波
%A 程兴宏
%J 计算机应用研究
%D 2012
%I 
%X Traditional geodesics active contour model has a shortage in soft image and edge fog image segmentation. This paper constructed a new edge stop function by combining regional characteristics with relevance between sequence image, and brought the regional characteristics and priori information into the edge stop function. Then it applicated this new function in GAC model to improve medical sequence image segmentation quality, and achieved a much ideal result. Experiments show that after introducting of a priori information and improving its forms of expression, it greatly improved anti-noise performance and segmentation efficiency of the model.
%K GAC model
%K edge stop function
%K adptive parameter
%K priori information
%K medical image sequence segmentation<br>GAC模型
%K 边缘停止函数
%K 自适应参数
%K 先验信息
%K 医学图像序列分割
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=A9D9BE08CDC44144BE8B5685705D3AED&aid=8EA8CD0D0F3BCBFBD2A3C1A527CCFADC&yid=99E9153A83D4CB11&vid=771469D9D58C34FF&iid=708DD6B15D2464E8&sid=7AE3BA851E46F977&eid=BA4876733735A521&journal_id=1001-3695&journal_name=计算机应用研究&referenced_num=0&reference_num=8