%0 Journal Article
%T AN IMAGE SEGMENTATION APPROACH BASED ON FUZZY-NEURAL-NETWORK HYBRID SYSTEM<br>基于模糊——神经网络混合系统的图象分割方法
%A Qian Yuntao
%A Xie Weixin
%A <br>钱云涛
%A 谢维信
%J 电子与信息学报
%D 1997
%I 
%X This paper presents an image segmentation approach which is based on fuzzy-neural-network hybrid system(FNNHS). This approach can use the empirical knowledge and the ability of neural networks which learn knowledge from the examples, to obtain the well performed fuzzy rules. Furthermore this fuzzy inference system is completed by neural network structure. The segmentation process consists of pre-segmentation based on region growing algorithm and region merging based on FNNHS. The experiments illustrate the power and efficiency of this method used for complicated image.
%K Computer vision
%K Image segmentation
%K Fuzzy logic
%K Neural network<br>计算机视觉
%K 图象分割
%K 模糊逻辑
%K 神经网络
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=1319827C0C74AAE8D654BEA21B7F54D3&jid=EFC0377B03BD8D0EF4BBB548AC5F739A&aid=F20A215545E0BE27E4C11490D7A9D4D9&yid=5370399DC954B911&vid=2A8D03AD8076A2E3&iid=0B39A22176CE99FB&sid=FDC7AF55F77D8CD4&eid=DC330B09A33F1455&journal_id=1009-5896&journal_name=电子与信息学报&referenced_num=0&reference_num=7