针对椒盐噪声的开关模糊滤波器

计算机应用 ›› 2012, Vol. 32 ›› Issue (05): 1293-1295.

针对椒盐噪声的开关模糊滤波器

郭远华,侯晓荣

电子科技大学自动化工程学院，成都 611731

收稿日期:2011-10-19 修回日期:2011-11-29 发布日期:2012-05-01 出版日期:2012-05-01
通讯作者: 郭远华
作者简介:郭远华（1978-），男，湖北天门人，博士，主要研究方向：自动推理、神经网络、图像处理；侯晓荣（1966-），男，山西临县人，教授，主要研究方向：数学机械化、控制理论。

Switching based fuzzy filter for salt-and-pepper noise

GUO Yuan-hua,HOU Xiao-rong

School of Automation, University of Electronic Science and Technology of China, Chengdu Sichuan 611731, China

Received:2011-10-19 Revised:2011-11-29 Online:2012-05-01 Published:2012-05-01
Contact: GUO Yuan-hua

摘要/Abstract

摘要： 自适应中值滤波随着椒盐噪声密度增加滤波图像细节损失较大。在开关滤波和自适应中值滤波的基础上提出了开关模糊滤波（SF）。SF用Max-Min算子检测噪声点，然后根据滤波窗口中正常点数量以均值方法或者T-S模糊方法去噪。仿真实验表明，开关模糊滤波比自适应中值滤波能更好地保护边界和细节。开关模糊滤波在消除噪声和细节保护之间取得了良好的平衡。

关键词: 图像去噪, 椒盐噪声, 自适应中值滤波, T-S模糊模型

Abstract: Adaptive median filter (AM) was less efficient in detail-preserving when noise ratio is high. On the basis of standard median filter (SM) and AM this paper introduced a switching based fuzzy filter (SF). Noise pixels were identified by Max-Min operator, then according to the number of normal pixels, mean method or T-S fuzzy method was adopted to eliminate noise pixels. Experimental results show that this filter outperforms adaptive median filter in detail-protection and image smoothing. SF keeps a tradeoff between noise attenuation and detail-protection.

Key words: image denoising, salt-and-pepper noise, adaptive median filter, T-S fuzzy model

中图分类号:

TP391.41

郭远华侯晓荣. 针对椒盐噪声的开关模糊滤波器[J]. 计算机应用, 2012, 32(05): 1293-1295.

GUO Yuan-hua HOU Xiao-rong. Switching based fuzzy filter for salt-and-pepper noise[J]. Journal of Computer Applications, 2012, 32(05): 1293-1295.

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