摘要
在分析传统图像均值滤波算法的特性基础上,提出了一种新的均值滤波方法——多窗口均值融合滤波算法.该算法以每一个像素点为中心选取多个不同尺寸的窗口,将各窗口的均值进行融合处理后作为中心点的滤波输出.实验结果表明,本算法对于低信噪比图像具有较好的滤波效果,优于传统的和一些改进的均值滤波算法.
On the basis of analysing the feature of the classical image mean filtering algorithm, a new mean filtering algorithm based on multi-window mean value fusion is presented . This algorithm firstly chooses multi-window in the neighbeurhood of one fixel and calculates mean value in every window, then fuses multiple mean value to get the final detection result of the fixel gray. The experimental results show that the proposed algorithm is effective and better than the existing algorithms in low SNR image.
出处
《微计算机信息》
北大核心
2007年第18期313-314,293,共3页
Control & Automation
