提出了一种基于相似度函数的自适应加权中值滤波算法。该方法首先通过噪声检测确定图像中的噪声点,然后

根据窗口内噪声点的个数自适应地调整滤波窗口的尺寸,并根据相似度大小,巧妙地将滤波窗口内各个像素点自适应分

组并赋予相应的权重,最后对检测出的噪声点进行加权中值滤波。计算机模拟实验结果表明:该算法既能有效地滤除噪

声,又能较好地保护图像细节,比标准中值滤波具有更优良的滤波性能。-A similarity function based on adaptive weighted median filtering algorithm. The method is first detected through the noise of the noise of image points, and then under the window the number of points within the noise adaptive filter to adjust the window size, and in accordance with similarity of the size of filtering window cleverly various adaptive grouping pixels and give the appropriate weight, and finally to detect the noise points in the weighted median filter. The experimental results show that computer simulation: the algorithm can effectively filter out noise, but also to protect the image detail better than the standard median filter has better filter performance.