基于粗集与PCNN的图像预处理

北京大学学报（自然科学版）

基于粗集与PCNN的图像预处理

顾晓东¹, 余道衡¹, 程承旗²

¹北京大学电子学系; ²北京大学遥感与地理信息系统研究所，北京，100871

收稿日期:2002-11-08 出版日期:2003-09-20 发布日期:2003-09-20

Image Pre-processing Based Rough Set and PCNN

GU Xiaodong¹, CHENG Chengqi², YU Daoheng¹

¹Department of Electronics, Peking University; ²The Institute of Remote Sensing and GIS, Peking University, Beijing, 100871

Received:2002-11-08 Online:2003-09-20 Published:2003-09-20

摘要/Abstract

摘要： 研究了如何将粗集(Rough Set)与脉冲耦合神经网络(PCNN-Pulse Coupled Neural Network)相结合，对被噪声污染的图像进行对比度增强处理，使图像清晰，从而便于后续的处理。同时，提出了基于粗集与PCNN的图像增强算法。计算机仿真结果表明，使用基于粗集与PCNN的图像增强算法，可有效地对被噪声污染的图像进行图像增强，减少图像噪声，增加图像对比度，使图像更加清晰，且图像增强的结果优于常规的方法。

关键词: 粗集, PCNN, 图像增强

Abstract: It is described that how to combine rough set with PCNN (Pulse Coupled Neural Network) to enhance the contrast of a noisy image to make the image clear so that the next image processing is easy. Meanwhile, the rough set and PCNN image enhancement algorithm is brought forward. The results of computer simulations show that noisy gray images can be enhanced efficiently by using this algorithm and image noise is reduced and image contrast is enhanced so that the image becomes clearer. In addition, the enhan cement effects of images based on this algorithm are better than those based on the other usual image enhancement algorithm.

Key words: rough set, PCNN, image enhancement

中图分类号:

O144
TP183

顾晓东, 余道衡, 程承旗. 基于粗集与PCNN的图像预处理[J]. 北京大学学报（自然科学版）.

GU Xiaodong,CHENG Chengqi,YU Daoheng. Image Pre-processing Based Rough Set and PCNN[J]. Acta Scientiarum Naturalium Universitatis Pekinensis.

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链接本文: https://xbna.pku.edu.cn/CN/

https://xbna.pku.edu.cn/CN/Y2003/V39/I5/703

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