黑龙江科技大学学报2023，Vol.33Issue(6)：909-916,8.DOI:10.3969/j.issn.2095-7262.2023.06.021
改进人工蜂群优化Ostu电力设备红外图像分割算法
Power equipment infrared image segmentation algorithm based on improved artificial bee colony optimization Ostu
摘要
Abstract
This paper is intended to address the poor effect of infrared image segmentation and falling into local optimum in infrared power equipment detection system and proposes an improved Ostu power e-quipment infrared image segmentation algorithm with artificial swarm optimization.The study involves im-proving the process of algorithm seeking by integrating Lévy flight in the initialization stage of the popula-tion to enhance the spatial search ability and population diversity of the swarm;and improving the global search ability of the swarm and avoiding falling into local optimum by using the aspen whisker search method to improve the search equation of the swarm at the leading stage.The experimental results show that compared with Ostu,PSO-Ostu and ABC-Ostu algorithms,the segmentation recall and overlap rate with the algorithm in this paper are improved over 10%,which effectively improves the segmentation effect of infrared images of power equipment.关键词
电力设备/图像分割/人工蜂群Key words
power equipment/image segmentation/artificial bee colony分类
信息技术与安全科学引用本文复制引用
冯新宇,付志伟,柴侨峥,李亚妮,刘晓磊..改进人工蜂群优化Ostu电力设备红外图像分割算法[J].黑龙江科技大学学报,2023,33(6):909-916,8.基金项目
国家电网公司2023年科技项目(SGHLXA00SZJS2310073) （SGHLXA00SZJS2310073）
黑龙江省省属本科高校基本科研业务费项目(2021-KYYWF-1477) （2021-KYYWF-1477）
