%0 Journal Article
%T A Stochastic Heuristic Search Method for Extracting Edge in Noise Image<br>噪声图象中提取边界的随机启发式搜索方法
%A HAN Jun
%A wei
%A GUO Lei
%A <br>韩军伟
%A 郭雷
%J 中国图象图形学报
%D 2001
%I 
%X Edges of objects often provide important features in pattern recognition application. How to extract the edge effectively in noise image is a difficult problem in the field of image analysis. Heuristic search algorithm is often used to extract edge, but because this method utilizes the fixed start points, fixed guide measurement and processes one off search, it is often very sensitive to noise. In this paper, a stochastic heuristic search method is presented. It firstly uses repetitive random searches to obtain various possible independent edge trajectories, then self reinforces and accumulates the search trajectories respectively, at last, extracts the edges relying on the result of the accumulation of self reinforcement. Lots of experiments show that our method can extract edges effectively and suppress the noise at the same time. Comparing with heuristic search algorithm, we find that our method is superior.
%K Edge extraction
%K Heuristic search
%K Stochastic heuristic search
%K Accumulation<br>边界提取
%K 随机启发式搜索
%K 边界检测
%K 图象处理
%K 噪声图象
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=D06194629680C940ACE75262F54B9D85&aid=136FD09D39554A32&yid=14E7EF987E4155E6&vid=B31275AF3241DB2D&iid=59906B3B2830C2C5&sid=01A9864A3FFB986F&eid=C9D6A9952042973F&journal_id=1006-8961&journal_name=中国图象图形学报&referenced_num=2&reference_num=6