提出一种基于遗传算法的二维熵多阈值自适应图像分割方法.在分析研究二维熵阈值分割原理的基础上,

将可变码长的遗传算法应用于多阈值分割处理过程,采用基于多阈值的整数编码方式,将图像分割的类别数即染色

体的码长融合到适应度函数中,从而实现了在对阈值寻优的同时得以优化分割类别数,最终实现图像的多阈值自适

应分割处理.实验分析结果表明,该方法具有实现阈值寻优速度快,最优解对应图像分割效果好的特点-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