Description: 此程序通过遗传算法(GA)实现灰度图像的分割,遗传算法的计算过程首先是将实际的优化问题编码成符合串,也称码串、染色体。将实际问题的目标函数转变为染色体的适应函数,然后在随机产生的一批初始染色体的基础上,根据各染色体的适应函数值进行繁殖、交叉、变异等遗传操作产生下一代染色体。 -This procedure of genetic algorithm (GA) to achieve gray scale image segmentation, genetic process of the algorithm is first encoded into a practical optimization problems found string, also known as code string, the chromosome. The objective function of the actual problem into the fitness function of chromosomes, then randomly generated based on the number of initial chromosomes, according to the fitness function value of chromosome reproduction, crossover and mutation operation produces the next generation of chromosomes. Platform: |
Size: 4167680 |
Author:马超 |
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