关键词: 平均绝对误差, 中值滤波器, 多尺度, 组合优化

Abstract: Taking into account the relatively poor versatility and effectiveness of the general robot visual navigation filtering algorithm, and taking advantage of the existing the median filter and multi-scale adaptive fusion filter, a combinatorial optimization filter based on the median and multi-scale was proposed. Firstly, the algorithm uses the median filter, and then uses the multi-scale filter. Finally the filtered results are fused according to smallest mean absolute error criterion(MAE). Experimental results show that the proposed algorithm can better filter out a variety of common noise for the robot road images, which enhances the versatility and effectiveness of the algorithm.

Key words: Mean Absolute Error (MAE), median filter, multi-scale, combinational optimization