%0 Journal Article
%T Multi-scale Images Edge Detection Method Based on Gap Operatorof Weighted Neighborhood<br>多尺度加权邻域Gap算子图像边缘检测方法
%A HUANG Chen-Rong
%A ZHANG Zheng-Jun
%A WU Hui-Zhong
%A <br>黄陈蓉
%A 张正军
%A 吴慧中
%J 计算机科学
%D 2005
%I 
%X Extracted the method called "Gap statistic" proposed by Hastie T. and Tibshirani, brought forward a con- cept called regular weighted neighborhood. Relying on the gray-level distribution in the relative half-plane of image pixels with weight, a multi-scale edge detection model based on Gap operator was established. The paper took the weight probability density function of regular weighted neighborhood, analyzed the character of Gap operator, opti- mized tbe edge detection algorithm based Gap statistic model, analyzed the correlation between the Gap operator and two the Sobel operator, discussed the anti-noise and multi-scale property of the edge detection model, and an investi- gation is taken to compare the difference of edge detection under the circumstance of different scales.
%K Image processing
%K Edge detection
%K Gap operator
%K Weighted neighborhood
%K Multi-scale<br>图像边缘检测方法
%K p算子
%K 多尺度
%K 邻域
%K 加权
%K 边缘检测算法
%K 边缘检测算子
%K 思想方法
%K 数据分布
%K 统计模型
%K 密度函数
%K 检测结果
%K Gap
%K 正则
%K 抗噪声
%K 灰度
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=64A12D73428C8B8DBFB978D04DFEB3C1&aid=09B7E6EA0903417F&yid=2DD7160C83D0ACED&vid=9971A5E270697F23&iid=DF92D298D3FF1E6E&sid=BBF7D98F9BEDEC74&eid=73579BC9CFB2D787&journal_id=1002-137X&journal_name=计算机科学&referenced_num=0&reference_num=10