利用灰色绝对关联分析的中值滤波方法研究  

Study of median filter method using analysis of grey absolute relation

作　　者：杨芳芳[1] 朱东升[1] 王志巍[1] 董蕊[2] 刘淑娟[1] 

机构地区：[1]河北师范大学数学与信息科学学院,石家庄050024 [2]河北交通职业技术学院基础部,石家庄050091

出　　处：《计算机工程与应用》2013年第13期160-164,共5页Computer Engineering and Applications

基　　金：国家自然科学基金(No.11071055)

摘　　要：针对灰色图像中的椒盐噪声,提出了一种利用绝对灰色关联度分析方法区分噪声与非噪声,并结合中值滤波进行去噪的算法。将n′n(n为大于或等于3的奇数)模板中的像素组合成两组序列,利用灰色绝对关联分析法,计算出这两组序列的相似关联度,从而判断当前像素是否为噪声。对于被判定为噪声的像素,进行中值滤波处理,以实现去噪;对于非噪声像素则不作处理,从而较好地保留了图像的细节。实验结果表明,与同类方法相比较,此方法有良好的去噪效果。Against salt-and-pepper noise in gray image, this paper proposes a method to distinguish between noise and non-noise by absolute grey relation degree, and uses median filtering algorithm to denoise the noise. After combining the pixels in n × n （ n is an odd number greater than or equal to 3） template into two groups, the paper uses absolute grey relation degree analysis algorithm to calculate the similarity of these two pixels groups, then it can know whether the current pixel is noise or not. For the noise pixel, denoise it by median filter; for the non-noise one, do nothing, thus retain good image detail. Experimen-tal results show that, this method has good denoising results compared with similar methods.

关 键 词：绝对灰色关联分析 中值滤波 关联系数 椒盐噪声 

分 类 号：TP802.6[自动化与计算机技术—检测技术与自动化装置]