Abstract: The traditional morphological filter, generalized morphological filter, adaptive weighted generalized filtering,generalized morphological filter of the multi structure elements or multi-directional or multi scale, all basically considering only one aspect, or improving the lack of only one aspect, regardless of what kind of filtering method that does not completely eliminate the noise. This paper presented a genetic algorithm based on adaptive multi scale multi structural morphological filtering method,the main consideration of the filtering window size,type and orientation of structural elements, as well as structural elements of the optimization of selection, using genetic algorithms to optimize the structural elements, and taking into account the convergence of genetic algorithm itself, using a strategy to retain the elite, while considering the choice of genetic algorithm parameters using adaptive strategies. At the same time, combined with the ideas of adaptive weighted generalized morphological filter to build the structure based on genetic optimization of multistructure,multi-scale adaptive weighted morphological filter,filter effects are better than the traditional morphological filter, the generalized morphological filter and others filters improved based on it.

Key words: Morphology,De-noising,Genetic algorithm,Adaptive strategy