现代电子技术2016，Vol.39Issue(14)：87-91,5.DOI:10.16652/j.issn.1004-373x.2016.14.024
基于改进差分演化的高效图像分割算法
High efficient image segmentation algorithm based on improved differential evolution
摘要
Abstract
The differential evolution algorithm is effective and easy to realize,but it has poor search ability,so a control parameter dynamic setting strategy based on beta distribution is proposed to improve the optimization effect of the differential evo⁃lution,and applied to the image segmentation. In the scheme,the image histograms are divided into two classes according their intensity,and summarized to the waiting optimization target function according to the inner⁃class variance,inter⁃class variance and total variance. And then,the improved differential evolution algorithm is used to search the optimal solution of the image segmentation target function,in which the beta distribution is used to set the control parameters dynamically in each iteration. The simulation experiment results show that the proposed method can obtain better optimal result and good image segmentation effect.关键词
贝塔分布/差分演化/图像分割/阈值化分割/控制参数Key words
beta distribution/differential evolution/image segmentation/thresholding segmentation/control parameter分类
信息技术与安全科学引用本文复制引用
范泽华,白铁成..基于改进差分演化的高效图像分割算法[J].现代电子技术,2016,39(14):87-91,5.基金项目
国家自然科学基金资助项目 （）
