现代电子技术2017，Vol.40Issue(20)：162-164,168,4.DOI:10.16652/j.issn.1004-373x.2017.20.046
基于图像识别的无人机输电线路断股检测系统设计
Image recognition based detection system for broken strand defects in transmission line of unmanned aerial vehicle
高晓东 1郑连勇 1王蔚 1曹飞2
作者信息
- 1. 国网山东省电力公司 检修公司,山东 济南250118
- 2. 北京中飞艾维航空科技有限公司,北京100000
- 折叠
摘要
Abstract
Aiming at the problems of high cost,low efficiency and little safety of traditional artificial patrol,a real-time bro-ken strand defects detection system for transmission line of unmanned aerial vehicle was designed and developed on the basis of image recognition technology. The straight line feature of transmission circuit is used in the system to perform the edge detection and Laplacian operator,and then the closed and binarization operations are adopted in the system to obtain smooth edge of trans-mission lines images. The improved Hough transforma regional seed acquisition and region growing are employed to extract the transmission line real-time images taken by UAV,and then judge whether broken strand defects exist according to width varia-tion of the transmission line. This system works well in its actual running,can display the information of broken strand defects clearly,and can provide a reference for detection of broken strand defects in the related transmission lines.关键词
线路断股检测/边缘检测/霍夫变换/区域种子点/区域生长Key words
broken strand line detection/edge detection/Hough transform/regional seed point/region growing分类
信息技术与安全科学引用本文复制引用
高晓东,郑连勇,王蔚,曹飞..基于图像识别的无人机输电线路断股检测系统设计[J].现代电子技术,2017,40(20):162-164,168,4.
