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,an optimized filter based on the median and combination of multi-scale was proposed.Firstly,the algorithm used the median filter,and then used the multi-scale filter.Finally the filtered results were fused according to smallest Mean Absolute Error(MAE) criterion.The 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.
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