现代电子技术2017，Vol.40Issue(21)：56-58,3.DOI:10.16652/j.issn.1004-373x.2017.21.015
基于改进遗传算法的电力设备红外图像分割研究
Research on electrical equipment infrared image segmentation based on improved genetic algorithm
摘要
Abstract
Since the traditional genetic algorithm used to segment the region of interest(ROI)for target image has the dis-advantages of slow convergence rate,long time-consumption and excessive segmentation,a segmentation method based on the improved genetic algorithm is presented. The optimal entropy threshold method is adopted in the method to determine the seg-mentation threshold,reduce the amount of calculation,and shorten the time-consumption. The results of Matlab simulation ex-periment show that the improved genetic algorithm is superior to the traditional one in the aspects of electric equipment′s infra-red image segmentation time and effect.关键词
遗传算法/最佳熵阈值/电力设备红外图像/图像分割Key words
genetic algorithm/optimal entropy threshold/power equipment infrared image/image segmentation分类
信息技术与安全科学引用本文复制引用
李祥,崔昊杨,皮凯云,许永鹏,钱婷..基于改进遗传算法的电力设备红外图像分割研究[J].现代电子技术,2017,40(21):56-58,3.基金项目
国家自然科学基金项目(61107081) （61107081）
上海市地方能力建设项目(15110500900,14110500900)资助 （15110500900,14110500900）
