基于模糊形态滤波的斑点噪声抑制

Speckle Suppressing Based on Fuzzy Morphological Filter

本文提出一种新的用于图像斑点噪声抑制的模糊形态滤波算法。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。

In this paper, a new filtering algorithm using morphological operators and fuzzy logic is proposed for suppressing speckle noise in images. The algorithm employs morphological close-open and open-close operations with a directional structure element, and acquiring the several filtered versions with different directional structure elements, then computing the membership of the versions' every pixel according to the designed fuzzy rule. The final filtered image is composed of all the pixels with corresponding maximal credibility. Experiment result proves that performance of the proposed scheme is superior to that of lee's filter, F.safa's algorithm, weighted morphological filter.