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一种基于神经网络的彩色图像分割方法
引用本文:张桂敏,汪熙,要俊杰,程高峰.一种基于神经网络的彩色图像分割方法[J].火力与指挥控制,2008(Z2).
作者姓名:张桂敏  汪熙  要俊杰  程高峰
作者单位:装甲兵工程学院;
摘    要:提出了适于彩色图像分割的加强型径向基函数网络方法,采用在线自适应聚类学习算法确定隐层节点的数目、激活函数中心值;通过Hebb学习算法迅速将隐层节点中心值分为目标颜色聚类中心和背景颜色聚类中心两类;输出层用竞争规则将目标与背景分开。通过对多幅彩色图像进行分割处理验证了该方法的有效性。

关 键 词:彩色图像分割  RBF网络  ERBF网络  Hebb算法  

Color Image Segmentation based on the Neural Network
ZHANG Gui-min,WANG Xi,YAO Jun-jie,CHENG Gao-feng.Color Image Segmentation based on the Neural Network[J].Fire Control & Command Control,2008(Z2).
Authors:ZHANG Gui-min  WANG Xi  YAO Jun-jie  CHENG Gao-feng
Institution:ZHANG Gui-min,WANG Xi,YAO Jun-jie,CHENG Gao-feng(Academy of Armored Forces Engineering,Beijing 100072,China)
Abstract:A new neural network method,which is called an enhancing learning on the radial basis function neural network,is presented to perform color image segmentation.A on-line self-adaptive clustering algorithm is employed to set the hidden layer and select the radial basis function center as well.The Hebb learning algorithm is introduced to train the hidden layer in order to divide its hidden neurons center vectors into two meaningful groups: one group members are the object color-clustering centers and the other...
Keywords:color image segmentation  RBF neural network  ERBF neural network  Hebb learning algorithm  
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