提出了一类自适应顺序形态滤波器,建立了排序运算的隐含表达式,并在最小均方误差(MSE)和最小平均绝对误差(MAE)准则下,实现了结构元素和百分位值的自适应处理.该滤波器不仅可以有效地抑制信号中的各种噪声,而且较好地保持了信号的几何特征.计算机仿真结果证实了滤波算法在噪声图象恢复方面有较好的效果.

This paper presents a class of adaptive ranked-order morphological filters. The implicit formula of the order operation is expressed. The adaptive processing of structuring element and percentile is implemented based on a minimizing criterion such as the mean square error (MSE) or the mean absolute error (MAE). The filters can not only efficiently suppressed various noise in signals but also preserved the geometrical features of signals. The results of computer simulation show that the new filtering method is quite effective in restoration to noisy images.