A New Mixed Genetic Algorithm for Multilevel Thresholding
一种用于多阈值图象自动分割的混合遗传算法

In this paper, a new approach for multilevel thresholding based on genetic algorithm and fuzzy C-means algorithm has been proposed and implemented. Owing to the characteristics of genetic algorithm, the new approach has good robustness and global optimum. The approach has also been advanced to speed convergence and avoid local optimum. Experimental results are satisfied.