提出一种新的用于图像斑点噪声抑制的滤波算法.此算法应用了形态滤波和模糊逻辑理论,首先以一方向结构元素进行广义形态闭-开、开-闭操作,获得不同方向结构元素的滤波版本,然后根据设计的模糊规则计算所有版本像素的隶属度,以具有相应最大隶属度的像素构成最后的滤波结果.实验结果证明:本文算法优于Lee滤波算法、F.Safa算法和加权形态滤波算法.

A new filtering algorithm using generalized morphological operators and fuzzy logic is proposed for suppressing speckle noise in images. Generalized morphological close-open and open-close operations with a directional structure element are used , and the several filtered versions with different directional structure elements are acquired, then computing the fuzzy membership of the versions′ every pixel according to the designed fuzzy rule are computed. The final filtered image is composed of all the pixels with corresponding maximal membership. Experimental result proves that performance of the proposed scheme is superior to that of lee′s filter, F.Safa′s algorithm, weighted morphological filter.