%0 Journal Article
%T A Novel Analytical-form-based Parametric Deformable Template<br>基于解析形式的二维参数可变形模板匹配算法
%A TANG Ze ying
%A LU Han qing
%A LUO Jian shu
%A <br>汤泽滢
%A 卢汉清
%A 罗建书
%J 中国图象图形学报
%D 2004
%I 
%X Deformable template matching is a kind of useful method for contour extraction and image segmentation in the fields of computer vision and image analysis. In this paper, by utilizing the gradient trajectories of a two dimensional function, a novel analytical form based two dimensional parametric deformable template with three kinds of biological tissue bone, muscle and skin is built, which has more reasonable template structure used to control the template deformation. In order to improve the operational efficiency of the new matching method, a heterogeneous discretization scheme is adopted. Then the new definitions of similarity internal energy function, smoothness internal energy function and external energy function are presented to reduce the sensitivity to initial placement of the template. Gaussian function is used to widen the capturing scope of the external force in the external energy function definition. Finally, greedy optimization fast algorithm is used to obtain globally optimal solution with more acceptable complexity of computation than dynamic programming. The experimental results on real images show that our new matching method is efficient and robust to accurate contour extraction.
%K contour extraction
%K parametric deformable template
%K energy function
%K scope-widen function
%K greedy optimization algorithm<br>轮廓提取
%K 计算机视觉
%K 参数可变形模板
%K 能量函数
%K 作用域扩展
%K 贪心优化算法
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=D06194629680C940ACE75262F54B9D85&aid=1BF05683C4FBE5A1&yid=D0E58B75BFD8E51C&vid=9CF7A0430CBB2DFD&iid=DF92D298D3FF1E6E&sid=FA519F4FF622280A&eid=5E191A234CD3698F&journal_id=1006-8961&journal_name=中国图象图形学报&referenced_num=0&reference_num=13