%0 Journal Article
%T Automatic threshold confirmation for extracting feature points in 2-dimensional images<br>提取二维图像特征点阈值的自动确定
%A GUAN Ye-peng
%A GU Wei-kang
%A <br>管业鹏
%A 顾伟康
%J 控制理论与应用
%D 2005
%I 
%X According to the different distributions on the gray surface between noise and feature points,the location of feature point was located by recursively computing deviation of gray-level within the sampled area.The threshold value was ascertained by the arithmetical average method.The limitation to confirm threshold value with tentative method and a priori information on processing image would be avoided.Experimental results of extracting feature points on different natural 2-D images proved that the threshold value determined was reasonable and effective.
%K probability theory
%K standard deviation
%K abnormity
%K gray-level
%K threshold value<br>概率论
%K 标准差
%K 异常
%K 灰度
%K 阈值
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=970898A57DFC021F93AB51667BAED7F7&aid=0AF3C2B9E4ECD82A&yid=2DD7160C83D0ACED&vid=BC12EA701C895178&iid=38B194292C032A66&sid=B9B90065CF5CD7F0&eid=44FDB9366EDDFA2B&journal_id=1000-8152&journal_name=控制理论与应用&referenced_num=0&reference_num=12