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基于模糊属性和BP神经网络的彩色图像分割方法
引用本文:桑金歌,于国莉,王守江. 基于模糊属性和BP神经网络的彩色图像分割方法[J]. 计算机教育, 2008, 0(4): 126-129,116
作者姓名:桑金歌  于国莉  王守江
作者单位:河北工业大学计算机科学与软件学院,天津,300401
摘    要:近年来,模糊技术和神经网络经常被用于图像分割并取得了不错的效果,本文尝试综合这。两种理论,发挥各自的特长,对一些传统方法无能为力的图像也能起到不错的效果。

关 键 词:模糊距离  神经网络  图像分割

Color image segmentation based on fuzzy technology and BP neural network
SANG Jin-ge,Yu Guo-li,Wang Shou-jiang. Color image segmentation based on fuzzy technology and BP neural network[J]. Computor Education, 2008, 0(4): 126-129,116
Authors:SANG Jin-ge  Yu Guo-li  Wang Shou-jiang
Affiliation:SANG Jin-ge Wang Shou-jiang Yu Guo-li (School of Computer Science & Software,Hebei University of Technology,Tianjin 300401,China)
Abstract:In recent years,fuzzy technology and neural network are often used in the image segmentation and made the good result,this text tries to synthesize two kinds of theories.The experiment indicates,this scheme can do well to the picture that some traditional methods are powerless to the good result too.
Keywords:fuzzy distance  neural network  image segmentation  
本文献已被 CNKI 维普 万方数据 等数据库收录!
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