基于斜率的自适应中值滤波算法  

Adaptive median filtering algorithm based on slope

作　　者：刘淑娟[1] 赵晔[2] 董蕊[3] 王志巍[1] 杨芳芳[1] 

机构地区：[1]河北师范大学数学与信息科学学院,石家庄050016 [2]石家庄铁道大学数理系,石家庄050043 [3]河北交通职业技术学院基础教学部,石家庄050091

出　　处：《计算机应用》2012年第3期736-738,共3页journal of Computer Applications

基　　金：国家自然科学基金资助项目(10771049)

摘　　要：针对图像中椒盐噪声点的准确检测与去除问题,提出一种基于斜率的自适应中值滤波算法。该算法首先用n×n(n为大于或等于3的奇数)的模板作用于待检测图像的每一个像素,若当前像素的灰度值为其邻域内所有像素灰度值的极值,判断此点为准噪声点;再利用像素灰度值序列中两段子序列斜率的差值及模板区域内像素灰度值的均值自适应地判断准噪声点是否为真正的噪声点;最后对被判定为噪声的像素做中值滤波处理。与标准中值滤波方法相比,该方法加强了噪声检测的条件。实验结果表明,该算法具有较好地去除椒盐噪声和保留细节的效果。For estimating and removing the salt-and-pepper noise point accurately in image,a new adaptive median filtering algorithm was proposed.Firstly,if the pixel in the center of n×n（n is an odd integer not less than three） template was the extreme value of all the pixels in the window,it was supposed to be probably a noise point.The pixel gray value in the sequence difference between the two scripts and a template sequence of the slope of the pixel gray value within the region were used to determine the mean quasi-adaptive noise point to be the real noise points.Finally,mean filtering was done on the noised pixels.Compared with median filter,the condition of detecting noises with this method has been largely enhanced.And the method can both effectively restrain noises and maintain details.

关 键 词：噪声检测 椒盐噪声 斜率差值 中值滤波 图像去噪 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术] TP301.6[自动化与计算机技术—计算机科学与技术]