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题名: A vision-based method for the broken spacer detection
作者: Song YF(宋屹峰); Wang L(王林); Jiang Y(姜勇); Wang HG(王洪光); Jiang WD(姜文东); Wang CC(王灿灿); Chu JL(初金良); Han DF(韩东锋)
作者部门: 空间自动化技术研究室
会议名称: 2015 IEEE International Conference on Cyber Technology in Automation, Control, and Intelligent Systems (CYBER)
会议日期: June 8-12, 2015
会议地点: Shenyang, China
会议录: 2015 IEEE International Conference on Cyber Technology in Automation, Control, and Intelligent Systems (CYBER)
会议录出版者: IEEE
会议录出版地: Piscataway, NJ, USA
出版日期: 2015
页码: 715-719
收录类别: EI ; CPCI(ISTP)
ISSN号: 2379-7711
ISBN号: 978-1-4799-8730-6
摘要: Power line inspection is essential to the smooth running of the power grid. In the past, the power line inspection was mainly carried out manually, which means the liners had to inspect the power line in the field or watch the inspection video taken by UAVs or inspection robots. The manual inspection method is with disadvantages such as long time consumption and high manual labor cost. With the rapid growing of power grid, the demand for the power inspection has been continuously increased, but the manual inspection method can hardly meet the requirements for the power inspection due to its disadvantages. This paper presents a computer vision-based method for the broken spacer detection. The method is mainly implemented in three steps. First of all, the spacer is recognized in the region of interest. Secondly, the image morphology is used to extract the image feature. At last, we determine the broken spacer fault by the analysis of the connected domain in the image. Experimental results have successfully demonstrated the effectiveness of the proposed method.
语种: 英语
产权排序: 1
WOS记录号: WOS:000380502300136
Citation statistics:
内容类型: 会议论文
URI标识: http://ir.sia.cn/handle/173321/17520
Appears in Collections:空间自动化技术研究室_会议论文

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Recommended Citation:
Song YF,Wang L,Jiang Y,et al. A vision-based method for the broken spacer detection[C]. 见:2015 IEEE International Conference on Cyber Technology in Automation, Control, and Intelligent Systems (CYBER). Shenyang, China. June 8-12, 2015.
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文件名: A vision-based method for the broken spacer detection.pdf
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