%0 Journal Article
%T An Improved GFO Algorithm for High Quality Edge-Detection Of Images<br>实现图象边缘检测的改进广义模糊算子法
%A Hong Wensong
%A Chen Wufan
%A <br>洪文松
%A 陈武凡
%J 中国图象图形学报
%D 1999
%I 
%X The conventional algorithms for edge detection are based on the gray gradient in an image, and it is inevitable to get wide edges . Generalized Fuzzy Operator ( GFO ) is a new efficient algorithm for edge-detection . By use of GFO, a high quality edge image with very low noise can be obtained. This paper presents an improved algorithm of GFO, Before the implement of GFO, a Neighborhood weighted pre-processing is realized to original images, which can help GFO to solve some problems such as discontinuous lines of edges. Our experiments show that this method appears preferable to others.
%K Edge
%K detection
%K Generalized Fuzzy Operator(GFO)
%K Neighborhood
%K weighted pre
%K processing<br>边缘检测
%K 广义模糊算子
%K 邻域加权预处理
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=D06194629680C940ACE75262F54B9D85&aid=DCD9417329A1B9DB0E645991B9E0D4C6&yid=B914830F5B1D1078&vid=E158A972A605785F&iid=0B39A22176CE99FB&journal_id=1006-8961&journal_name=中国图象图形学报&referenced_num=6&reference_num=0