复合顺序形态滤波中结构元素的自适应处理

Adaptive Processing of the Structuring Element in Complex Ranked-order Morphological Filtering

在最小平均绝对误差（MAE）准则下,实现了复合顺序形态滤波的结构元素自适应处理。计算机模拟结果证实了这种算法不仅可以有效地抑制信号中的噪声,而且较好地保持了信号的陡峭阶跃变化。该滤波算法应用于恢复噪声污染的心电信号,其信噪比大大改善。

In this paper, the adaptive processing of the structuring element in complex ranked-order morphological filtering is implemented under the criterion of minimizing the mean absolute error(MAE). The result of computer simulation shows that the filtering algorithm can not only efficiently suppress various noises in signals but also preserve the sharp step changes of the signals. The filtering algorithm is applied to restore a noisy electro-cardiogram(ECG) signal. The signal to noise ratio(SNR) is highly improved.