%0 Journal Article
%T SMOOTHING ALGORITHMS FOR BINARY IMAGE USING CELLULAR NEURAL NETWORKS<br>二值图象平滑算法和细胞神经网络实现
%A Yang Tao
%A <br>杨涛
%J 电子与信息学报
%D 1996
%I 
%X The piecewise linear saturation characteristics of cell in a cellular neural network(CNN) and phase plane analysis method are used to realize linear separable and nonseparable Boolean expressions. And the principle is also used to achieve some CNN smoothing algorithms for binary images.
%K Cellular neural network
%K Boolean expression
%K Binary image
%K Smoothing algorithm<br>细胞神经网络
%K 布尔函数
%K 二值图象
%K 平滑算法
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=1319827C0C74AAE8D654BEA21B7F54D3&jid=EFC0377B03BD8D0EF4BBB548AC5F739A&aid=0E81A11D77ECB321962742A32BB165BC&yid=8A15F8B0AA0E5323&vid=13553B2D12F347E8&iid=CA4FD0336C81A37A&sid=DF92D298D3FF1E6E&eid=F3583C8E78166B9E&journal_id=1009-5896&journal_name=电子与信息学报&referenced_num=0&reference_num=10