微型电脑应用2025，Vol.41Issue(3)：171-174,179,5.
基于多尺度图像融合算法的输电线路复合绝缘子缺陷无人机主动成像检测方法
UAV Active Imaging Detection Method for Transmission Lines Composite Insulator Defects Based on Multi-scale Image Fusion Algorithm
何超 1毛晓俊 1董国民 1俞磊1
作者信息
- 1. 浙江省送变电工程有限公司,浙江,杭州 310016
- 折叠
摘要
Abstract
The UAV active imaging detection method for transmission lines composite insulator defects based on multi-scale im-age fusion algorithm is studied to detect composite insulator defects and maintain the normal operation of transmission lines.The multi-scale image fusion algorithm is used to fuse the high-resolution composite insulator image,segment the image to ob-tain the composite insulator target.The edge pixel difference method is used to detect the composite insulator target image,and detect the composite insulator defects by comparing the pixel difference of the adjacent composite insulators discs in the insula-tor target image.If the pixel difference of the adjacent composite insulators discs is different,it indicates that composite insula-tor have defects.By mapping the distance between the edges of adjacent insulators to the image of defective insulators,the difference result graph is generated to present the defect situation.The experimental results show that the proposed method can suppress the noise of composite insulator image,improve the image resolution,segment and acquire the composite insulator tar-get image with clear details.关键词
多尺度图像融合/复合绝缘子/无人机/主动成像/缺陷检测Key words
multi-scale image fusion/composite insulator/UAV/active imaging/defect detection分类
信息技术与安全科学引用本文复制引用
何超,毛晓俊,董国民,俞磊..基于多尺度图像融合算法的输电线路复合绝缘子缺陷无人机主动成像检测方法[J].微型电脑应用,2025,41(3):171-174,179,5.
