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基于多层神经网络的非线性图像分割
引用本文:郭平,刘大禾.基于多层神经网络的非线性图像分割[J].光学学报,1997,17(1):4-78.
作者姓名:郭平  刘大禾
作者单位:[1]北京师范大学分析测试中心 [2]北京师范大学物理系
摘    要:提出了一种用多层神经网络对图像进行非线性分割的方法。讨论了所用多层神经网络的学习速度的改进与训练样本的选择方法。实验表明,该多层神经网络系统可用于实时图像分割,并能获得很好的结果。

关 键 词:多层  前馈  神经网络  图像处理  非线性图像分割
收稿时间:1995/9/10

Image Nonlinear Segmentation Based on Multilayer Neural Networks
Guo Ping a Liu Dahe b Cui Jiansheng a a,Analysis and Testing Center,Beijing Normal University,Beijing b.Image Nonlinear Segmentation Based on Multilayer Neural Networks[J].Acta Optica Sinica,1997,17(1):4-78.
Authors:Guo Ping a Liu Dahe b Cui Jiansheng a a  Analysis and Testing Center  Beijing Normal University  Beijing b
Institution:Guo Ping a Liu Dahe b Cui Jiansheng a a,Analysis and Testing Center,Beijing Normal University,Beijing 100875 b,Department of Physics,Beijing Normal University,Beijing 100875
Abstract:A new image nonlinear segmentation method based on multilayer neural network is proposed in this paper. The technique of improving the learing speed and the method of selecting learing patterns are discussed. The experiment shows that proposed multilayer neural network can be used for real time image segmentation and the good results can be obtained.
Keywords:multilayer feedforward neural network    real time learning    image nonlinear segmentation    
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