%0 Journal Article
%T Nonparametric Methods for Image Segmentation Using Active Contour<br>一种非参数估计的活动围道图像分割方法
%A Yang Hong-bo
%A Shi Yong-gang
%A Zou Mou-yan
%A <br>杨鸿波
%A 时永刚
%A 邹谋炎
%J 电子与信息学报
%D 2004
%I 
%X This paper applies Parzen-window nonparametric estimation of active contour methods for image segmentation which can be performed without regarding image regions as any of typical probability distributions, so it expands the application range of the algorithm. In order to use the information of gray value congruence in a particular region, the Parzen-window parameter is alterable in estimating the densities. This will be more suit for practical image segmentation. Many examples of synthetical and real image segmentation prove that the method is rationality, better for curve evolution and has good accuracy and antinoise function.
%K Nonparametric density estimation
%K Parzen-window
%K Active contour
%K Level set
%K Image Segmentation<br>非参数概率密度估计
%K Parzen窗
%K 活动围道
%K 水平截集
%K 图像分割
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=1319827C0C74AAE8D654BEA21B7F54D3&jid=EFC0377B03BD8D0EF4BBB548AC5F739A&aid=6AC3FE453483FBF4&yid=D0E58B75BFD8E51C&vid=96C778EE049EE47D&iid=59906B3B2830C2C5&sid=2F9DAF60B46325CC&eid=F0513F17AA41A8C6&journal_id=1009-5896&journal_name=电子与信息学报&referenced_num=2&reference_num=11