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基于细胞神经网的快速图像分割方法
引用本文:鞠磊,郑德玲,翁贻方.基于细胞神经网的快速图像分割方法[J].北京工商大学学报(自然科学版),2005,23(5):32-34,39.
作者姓名:鞠磊  郑德玲  翁贻方
作者单位:1. 北京科技大学,信息工程学院,北京,100083
2. 北京科技大学,信息工程学院,北京,100083;北京工商大学,信息工程学院,北京,100037
摘    要:细胞神经网(CNN)是一种局部互联的非线性并行模拟视觉处理系统,具有适合硬件实现处理速度快的优点.首先利用CNN-PDE非线性异质扩散滤波对图像作预处理,随后给出了一种基于CNN的图像分割方法.分割试验结果及仿真时间估计表明,CNN分割方法能以非常快的速度完成相应处理,是高效可行的.

关 键 词:细胞神经网  异质扩散滤波  图像处理  图像分割
文章编号:1671-1513(2005)05-0032-03
收稿时间:2005-05-24
修稿时间:2005-05-24

STUDY OF THE INFRARED IMAGE SEGMENTATION BASED ON CELLULAR NEURAL NETWORKS
JU Lei,ZHENG De-ling,WENG Yi-fang.STUDY OF THE INFRARED IMAGE SEGMENTATION BASED ON CELLULAR NEURAL NETWORKS[J].Journal of Beijing Technology and Business University:Natural Science Edition,2005,23(5):32-34,39.
Authors:JU Lei  ZHENG De-ling  WENG Yi-fang
Institution:1. Information Engineering School, University of Science and Technology Beijing, Beijing 100083, China; 2. College of Information Engineering, Beijing Technology and Business University, Beijing 100037, China
Abstract:Cellular neural networks(CNN) which be used in image processing is a locally connected and fully parallel nonlinear analog information processing system.In this paper,we studied a image segmentation algorithm based on CNN.We give a biased anisotropic diffusion filter based CNN-PDE firstly,,and then,we design a segmentation algorithm which can be carried out by CNN-UM.The result of segment to practical image shows the segment method presented in this paper is feasible and effective,and the result of simulative time estimated shows the image segment algorithm based on CNN is very faster.
Keywords:cellular neural networks  anisotropic diffusion smoothing  image processing  image segmentation
本文献已被 CNKI 维普 万方数据 等数据库收录!
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