Abstract
In order to quickly get the optimal threshold for image segmentation, a novel method of image segmentation based on improved adaptive genetic algorithm is presented, which adjusts the parameters of genetic algorithm adaptively according to the difference among the individuals and the diversity of population to ensure the convergence of the algorithm and avoid the precocious. The method combines with the Otsu method to get the best image segmentation threshold. The theoretically analysis and simulation experiments show that the threshold is more accurate and less time is consumed greatly by using the proposed method than Otsu image segmentation and other adaptive genetic algorithm.
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