模糊理论处理高密度椒盐噪声的新方法  

The New Methods of Fuzzy Theory to Deal with Salt and Pepper Noise

作　　者：刘邱云[1] 王璐璐[2] 谢君[1] 刘佩红[1] 罗冰辉[1] LIU Qiuyun;WANG Lulu;XIE Jun;LIU Peihong;LUO Binghui(College of Mathematic and Informatics,Jiangxi Normal University,Nanchang Jiangxi 330022,China;Department of Accounting,Jiangxi Institute of Economic Management,Nanchang Jiangxi 330088,China)

机构地区：[1]江西师范大学数学与信息科学学院,江西南昌330022 [2]江西经济管理干部学院会计系,江西南昌330088

出　　处：《江西师范大学学报（自然科学版）》2017年第6期629-632,共4页Journal of Jiangxi Normal University(Natural Science Edition)

基　　金：国家自然科学基金(61762063);江西省自然科学基金(20114BAB201038;2017BAB202024);江西省教育厅科学技术研究课题(GJJ14244)资助项目

摘　　要：利用模糊数学理论对图像滤波算法进行了研究.针对高密度椒盐噪声,讨论ROAD统计量检测噪声的能力,探讨高密度椒盐噪声的处理方法,结合椒盐噪声的性质提出了一种噪音检测的新方法,并基于像素相似度进行去噪,采取分离出噪音点的处理思路,得到了比较好的结果.The image filtering algorithm based on the fuzzy information processing technology is studied,and some new ideas are put forward.The high density salt and pepper noise,first and foremost to the discussion of ROAD statistics detection ability of testing noise are talked about,the treatment of high density salt and pepper noise are investigate.Through the understanding of the nature of the salt and pepper noise,a new noise detection method is put forward,and the separation of noise points ideas are adopt to denoising noise based on the noise pixel similarity and better results are obtained.

关 键 词：椒盐噪声 隶属度函数 阈值 相似度 

分 类 号：O159[理学—数学]