| 数学形态滤波的细胞神经网络实现方法 |
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| 引用本文： | 胡栋梁,叶芗芸.数学形态滤波的细胞神经网络实现方法[J].上海交通大学学报,1997,31(3):33-36. |
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| 作者姓名： | 胡栋梁 叶芗芸 |
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| 基金项目： | “攀登计划”基金,国家自然科学基金 |
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| 摘 要： | 给出了细胞神经网络（ＣＮＮ）在数学形态学中的应用．通过对ＣＮＮ状态方程的修改，可使ＣＮＮ并行、实时地实现数学形态滤波，其实现速度与结构元的大小无关．给出了有关改进ＣＮＮ的稳定性及动态特性分析以及在腐蚀、膨胀及结构开、闭运算中的实现结果
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| 关 键 词： | 细胞神经网络 数学形态学 膨胀 腐蚀 结构开 结构闭 |
Mathematical Morphology Using Cellular Neural Network |
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| Hu Dongliang,Ye Xiangyun,Qi Feihu.Mathematical Morphology Using Cellular Neural Network[J].Journal of Shanghai Jiaotong University,1997,31(3):33-36. |
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| Authors: | Hu Dongliang Ye Xiangyun Qi Feihu |
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| Institution: | Department of Computer Science and Engineering |
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| Abstract: | An application of cellular neural network (CNN) in mathematical morphology is presented.By modifying its original state equation,CNN is made to be capable of carrying out the morphological operation in real time,in which the processing speed is regardless of the morphological structuring element.The theorems concerning the dynamic range and steady state are given while the computer simulating results are used to illustrate the morphological dilation,erosion,open and close on binarized images. |
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| Keywords: | cellular neural network (CNN) mathematical morphology dilation erosion open close |
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