%0 Journal Article
%T Using Fuzzy Competitive Hopfield Neural Network for Image Segmentation<br>使用模糊竞争Hopfield网络进行图像分割
%A ZHANG Xing-ming
%A LI Feng-sen
%A <br>张星明
%A 李凤森
%J 软件学报
%D 2000
%I 
%X In this paper, based on the defect of self-organizing learning method, a fuzzy competitive learning method is proposed, and a fuzzy competitive Hopfield neural network for color image segmentation is designed based on competitive Hopfield neural network. The fuzzy clustering on gray feature set can be realized by means of mapping image space into gray feature space, then the color image segmentation can be done. The experiment results indicate that the algorithm is of better effect and adaptive ability to noise than Ostu method for binary segmentation, and shows higher processing speed than FCM (fuzzy C mean) algorithms for multi-class segmentation.
%K Image segmentation
%K gray feature
%K fuzzy competition
%K Hopfield neural network<br>图像分割，灰度特征，模糊竞争，Hopfield神经网络.
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=7735F413D429542E610B3D6AC0D5EC59&aid=D16E1E3421C4552C&yid=9806D0D4EAA9BED3&vid=708DD6B15D2464E8&iid=DF92D298D3FF1E6E&sid=85A6AA3FF013E1BF&eid=7A7A8B1000B9FF84&journal_id=1000-9825&journal_name=软件学报&referenced_num=4&reference_num=7