摘要
均值滤波能较好的平滑图像的噪声,但对于高密度的脉冲噪声的抑制能力却有限,针对标准中值滤波的缺点,作者提出了一种基于隶属度函数的自适应加权中值滤波算法。该算法先通过对窗口内像素点进行噪声检测,根据噪声点的个数自适应的调整滤波窗口大小,再按照各像素点隶属度的大小,将各信号按照隶属度的大小赋予权重,最后采用加权中值滤波算法处理信号点,输出结果。
Mean filter to smooth image noise better,but are limited to high-density impulse noise suppression,for the shortcom ings of the standard median filter is proposed based on the membership function of the adaptive weighted median filtering algo rithm.Firstly,through the pixels in the window,the noise detection,adaptive adjustment of the filter window size according to the number of noise points,then in accordance with the size of the membership of each pixel,the signal given in accordance with the size of the membership weight of the final adopted the weighted median filtering algorithm signal processing point out put.The experimental results show that the salt and pepper noise density,the algorithm can effectively filter out the noise,but al so better preserving image edges and details,excellent filtering performance.
作者
王梅
黄华
应大力
WANG Mei,HUANG Hua,YING Da-li（1.Sichuan University School of Electrical Engineering and Information Medical Information Engineering,Chengdu 610065,China;2.Logistics Engineering Institute of the Peoples Liberation Army,Chongqing 401331,China）
出处
《电脑知识与技术》
2012年第11期7565-7567,共3页
Computer Knowledge and Technology
关键词
椒盐噪声
中值滤波
自适应中值滤波
自适应加权中值滤波
salt and pepper noise
median filtering
adaptive median filter
adaptive weighted median filter
