%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检糊算子法
%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 1]. 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-detection
%K Generalized Fuzzy Operator(GFO)
%K Neighborhood-weighted pre-processing<br>边缘检测
%K 广义模糊算子
%K 领域加权预处理
%K 图象
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=D06194629680C940ACE75262F54B9D85&aid=28D20BDCD62388CF554EF83622169C2B&yid=B914830F5B1D1078&vid=E158A972A605785F&iid=0B39A22176CE99FB&sid=475189FCB44F11F6&eid=A020552C37306588&journal_id=1006-8961&journal_name=中国图象图形学报&referenced_num=6&reference_num=3