摘要: |
研究并综述了如何用有生物学依据的脉冲耦合神经网络 (PCNN)的脉冲发放特性进行图像处理 ,如图像去噪、图像分割、图像的阴影去除、图像的边缘检测等。研究发现 ,PCNN可有效地用于图像处理。虽然解决图像处理中的不同问题时 ,基于PCNN的算法有所不同 ,但有一共同点 ,就是都用到了PCNN的脉冲传播特性。 |
关键词: 图像处理,脉冲耦合神经网络,算法 |
DOI:10.3969/j.issn.1001-893X. |
修订日期:2002-11-21 |
基金项目:国家 8 6 3计划基金资助项目 (2 0 0 2AA7830 6 0 ) |
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Research on Image Processing Based on PCNN |
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Abstract: |
This paper describes and studies how to use the pulse transmission attribute of PCNNPulse Coupled Neural Networks, a new artificial neural network based on biology,to perform image processing, such as image noise reducing, image segmentation, image shadow removal, image edge detection. PCNN can be efficiently used to perform image processing. Although the PCNN algorithms dealing with different problems of image processing are not same, they all use the pulse transmission attribute of PCNN. |
Key words: Image processing,PCNN,Algorithm |