%0 Journal Article
%T Automatic snakes model based on modified GVF<br>改进GVF的自动Snakes模型
%A Zhou Yanan
%A Cheng Xi
%A Luo Jiancheng
%A Shen Zhanfeng
%A Hu Xiaodong
%A <br>周亚男
%A 程熙
%A 骆剑承
%A 沈占锋
%A 胡晓东
%J 中国图象图形学报
%D 2012
%I 
%X To address issues about the initialization of Snakes' contour,computational inefficiency,and poor positioning accuracy of the traditional gradient vector field Snakes model,an improved GVF Snakes Model is proposed based on the analysis of the distribution and the deformation principle of the model.In the new model,edges are detected exploiting the SUSAN algorithm firstly:afterwards,a snake contour is initialized using the convex hull generated by the edge points.Then,according to the edges and the deformation principle,the model modifies the distribution of the GVF.Finally,the improved model detects the edges of synthetic images and natural images accurately.The experimental results show that the proposed model not only is efficient,but also has better performance on the weak edges and sharp corners.
%K gradient vector field
%K Snakes model
%K SUSAN
%K edge detection
%K deforming<br>梯度向量场
%K Snakes模型
%K SUSAN算法
%K 边缘检测
%K 迭代变形算法
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=D06194629680C940ACE75262F54B9D85&aid=C3C9E433FF4C68C474467A519682A5BC&yid=99E9153A83D4CB11&vid=BCA2697F357F2001&iid=0B39A22176CE99FB&sid=80BD0A2EF8664214&eid=30897FA31CA3354D&journal_id=1006-8961&journal_name=中国图象图形学报&referenced_num=0&reference_num=20