Description: Propose a genetic algorithm based 2D entropy multi-threshold adaptive image segmentation method on the basis of the analysis to study two-dimensional entropy threshold segmentation principle, variable code length genetic algorithm applied to the multi-threshold segmentation process using more the threshold integer coded way image segmentation category number that chromosomes of yards long fusion fitness function, so as to achieve the threshold to find excellent the while able to optimize the split category number, eventually realized the image of the multi-threshold values adaptive segmentation processing experimental results show that the method has a threshold speed optimization, optimal solution corresponds to the effect of image segmentation and good
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