针对标准均值滤波存在的问题,提出自适应均值滤波算法。算法首先计算窗口的四阶累积量和二阶中心矩并确定噪声

点阈值 然后根据窗口内噪声点个数自适应调整滤波窗口,自适应计算权值 最后对噪声点逐点滤波。该方法既能有效去除图

像噪声点,又能较好保持图像细节。论文最后给出实验和分析,结果表明该方法是有效的-Standard mean filter exists, adaptive mean filtering algorithms. The algorithm calculates the window of the fourth-order cumulants and the second central moment and to determine the threshold of the noise points　then adjust the filter window, adaptive weights are calculated according to the number of window noise adaptive　final point-by-point filtering noise. The method can effectively remove the image noise point, but also better preserving image detail. Finally, given the experimental and analytical results show that the method is effective