| 基于PCNN的灰度图像边缘检测方法 |
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| 引用本文： | 杨智勇,周琪云,周定康. 基于PCNN的灰度图像边缘检测方法[J]. 计算机工程与应用, 2004, 40(21): 92-93,107 |
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| 作者姓名： | 杨智勇 周琪云 周定康 |
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| 作者单位： | 江西师范大学计算机应用研究所,南昌,330027;江西师范大学计算机应用研究所,南昌,330027;江西师范大学计算机应用研究所,南昌,330027 |
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| 摘 要： | 脉冲耦合神经网络(PCNN)最初由Eckhorn根据猫大脑中视觉皮层神经元的同步脉冲(SynchronousBurst)现象而提出。由于具有一系列良好的特性,PCNN在图像处理、模式识别等领域获得了广泛的应用。文献[6]根据PCNN的传播特性提出了一种利用PCNN检测二值图像边缘的有效方法,但这种方法并不能直接用于对灰度图像的边缘进行检测。由于实际处理的图像大部分为灰度图像,因而其方法的适用性是很有限的。该文提出了一种基于PCNN的灰度图像边缘检测方法,从而直接对256色灰度图像的边缘进行提取,具有较好的适用性。实验结果表明该方法是有效的。
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| 关 键 词： | PCNN 灰度图像边缘检测 图像处理 |
| 文章编号： | 1002-8331-(2004)21-0093-02 |
Gray Image Edge Detection Method Based on PCNN |
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| Yang Zhiyong Zhou Qiyun Zhou Dingkang. Gray Image Edge Detection Method Based on PCNN[J]. Computer Engineering and Applications, 2004, 40(21): 92-93,107 |
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| Authors: | Yang Zhiyong Zhou Qiyun Zhou Dingkang |
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| Abstract: | The PCNN was originally presented to explain the synchronous burst of the neurons in the cat visual cortex by Eckhorn.For its good properties,it is widely used in image processing and pattern recognition.In reference,an effective method for binary image edge detection based on PCNN is proposed.But the method can not detect edges in gray image directly.Since most of practical images that need to be processed are gray image,the applicability of the method is limited.This paper proposes a method based on PCNN to detect edges in a gray image.This method can detect edges in a256colors gray image directly and is applicable.Experiment results show that the method is effective. |
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| Keywords: | PCNN gray image edge detection image processing |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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