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文章摘要
基于无人机图像处理的输电线路提取技术研究
Research on transmission line extraction technology based on UAV image processing
Received:November 16, 2020  Revised:December 08, 2020
DOI:10.19753/j.issn1001-1390.2022.05.021
中文关键词: 无人机巡检  灰度化  图像滤波  Hough变换
英文关键词: UAV inspection, grayscale, image filtering, Hough transform
基金项目:宁夏自然科学基金项目:2018AAC03222
Author NameAffiliationE-mail
Sha Weiyan* Electric Power Research Institute of State Grid Ningxia Electric Power Co., Ltd., Yinchuan 750011, China weiyansha@163.com 
He Ninghui Electric Power Research Institute of State Grid Ningxia Electric Power Co., Ltd., Yinchuan 750011, China 232464433@qq.com 
Ding Pei Electric Power Research Institute of State Grid Ningxia Electric Power Co., Ltd., Yinchuan 750011, China 18695116363@163.com 
Hu Wei State Grid Ningxia Electric Power Co., Ltd., Yinchuan 750001, China huwei@nx.sgcc.com.cn 
Li Xiuguang Electric Power Research Institute of State Grid Ningxia Electric Power Co., Ltd., Yinchuan 750011, China 94266092@qq.com 
Zhou Xiu Electric Power Research Institute of State Grid Ningxia Electric Power Co., Ltd., Yinchuan 750011, China zhouxiu007@163.com 
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中文摘要:
      为进一步减轻输电线路进行定期检查、巡视的任务,文章提出了一种利用智能化无人机巡检技术,对航拍图像进行线路的提取和跟踪。采用直方图均衡化及图像滤波对航拍图像进行预处理,解决了航拍图像光照强度以及背景对输电线路元素提取的干扰;采用LSD算法实现了线路边缘的提取,在去除图像背景信号的基础上使用Hough变换数学算法实现了输电线路的准确连接;分别采用粒子滤波和扩展卡尔曼滤波两种图像跟踪方法对航拍视频进行线路跟踪,通过建立输电线运动模型,用仿真软件对其进行识别,两种方法的检测准确度分别为95.34%和94.72%,证实文章处理算法可实现输电线路的提取和跟踪。
英文摘要:
      In order to further alleviate the tasks of regular inspections and patrols of transmission lines, the article proposes an intelligent drone inspection technology to extract and track aerial images. Firstly, the aerial image is preprocessed by using histogram equalization and image filtering to solve the interference of the aerial image light intensity and background on the extraction of transmission line elements; secondly, the LSD algorithm is used to achieve the extraction of the line edge, and the image background signal is removed. On the basis of the Hough transform mathematical algorithm, the accurate connection of the transmission line is realized; finally, the particle filter and the extended Kalman filter are used to track the aerial video line by the two image tracking methods. To identify them, the detection accuracy of the two methods are 95.34% and 94.72%, respectively, confirming that the article processing algorithm can realize the extraction and tracking of transmission lines.
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