%0 Journal Article
%T The Newest Double Linear Fast Algorithm of Image Enhancement Edge Detection<br>一种双线性快速模糊增强图像边界检测最新算法
%A HAN Pei-you
%A ZHANG Shu-guang
%A HAO Chong-yang
%A DONG Gui-yun
%A <br>韩培友
%A 张曙光
%A 郝重阳
%A 董桂云
%J 计算机应用研究
%D 2004
%I 
%X This paper gives the linear general fuzzy operator (LGFO)of fuzzy enhancement of contrast among successive region,and then puts forward the newest double linear fast algorithm of image enhancement edge detection based on GFS.The normal space sets of grey image are translated to correspondent generalized fuzzy space sets by using left semi-trapezoid fuzzy distribution.The generalized fuzzy sets proceed to fuzzy enhancement of contrast among successive region by LGFO.The enhanced GFS is translated to normal sets,and the edge is extracted from the normal sets.Through a great many of instances indicated: by using this algorithm to extract the edge is fast for velocity and good for effect.
%K Edge Detection
%K Fuzzy Enhancement
%K Generalized Fuzzy Set(GFS)
%K Linear General Fuzzy Operator(LGFO)<br>边界检测
%K 模糊增强
%K 广义模糊集(GFS)
%K 线性广义模糊算子(LGFO)
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=A9D9BE08CDC44144BE8B5685705D3AED&aid=24E486E5FBC35A80&yid=D0E58B75BFD8E51C&vid=659D3B06EBF534A7&iid=B31275AF3241DB2D&sid=03A030BB0C519C60&eid=5E25104E99903E8A&journal_id=1001-3695&journal_name=计算机应用研究&referenced_num=0&reference_num=12