%0 Journal Article
%T Image edge detection based on the Euclidean distance graph<br>基于欧氏距离图的图像边缘检测
%A Zhang Chuang
%A Wang Tingting
%A Sun Dongjiao
%A Ge Yixian
%A Chang Jianhua
%A <br>张闯
%A 王婷婷
%A 孙冬娇
%A 葛益娴
%A 常建华
%J 中国图象图形学报
%D 2013
%I 
%X The results of image edge detection directly affects the subsequent image processing operations. Effectively extracting the information carried by the image target is the main purpose of the image edge detection. In order to realize the extraction of a target outline, an image edge detection method based on a Euclidean distance graph is proposed. The Euclidean distance between points in the image is calculated, and the distance graph is obtained. The scenery outside the outline is well described in the graph. The scenery outline can be effectively extracted by using an improved Canny operator for edge detection. Compared with other general edge detection algorithms, the method can effectively realize the detection of a target's outline. Because small and trivial details are suppressed, the method gives a better basis for further image target outline recognition.
%K Euclidean distance
%K distance graph
%K improved Canny operator
%K edge detection<br>欧氏距离
%K 距离图
%K 改进的Canny算子
%K 边缘检测
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=D06194629680C940ACE75262F54B9D85&aid=AE8DAD4245F3E9A9DF77DEA3A3A44EB7&yid=FF7AA908D58E97FA&vid=13553B2D12F347E8&iid=0B39A22176CE99FB&sid=5BC9492E1D772407&eid=DD74772618543076&journal_id=1006-8961&journal_name=中国图象图形学报&referenced_num=0&reference_num=11