Overhead power line detection from UAV video images

CORC > 沈阳自动化研究所 > 中国科学院沈阳自动化研究所 > 机器人学研究室

	Overhead power line detection from UAV video images
	Yang TW(杨唐文); Yin, Hang; Ruan QQ(阮秋琦); Han JD(韩建达); Qi JT(齐俊桐); Qin Y(秦勇); Wang, Zitong; Sun ZQ(孙增圻)
	2012
会议名称	2012 19th International Conference on Mechatronics and Machine Vision in Practice, M2VIP 2012
会议日期	November 28-30, 2012
会议地点	Auckland, New zealand
关键词	power line detection UAV image binarization Hough Transform Fuzzy C-means Clustering algorithm
页码	74-79
通讯作者	杨唐文
中文摘要	Currently, unmanned aerial vehicles (UAVs) are applied to routine inspection tasks of electric distribution networks. As an important information source, machine vision attracts much attention in the area of the UAV's autonomous control. To this end, real-time algorithms are studied in this paper to detect the power lines in the UAV video images. First, video images are converted into binary images through an adaptive thresholding approach. Then, Hough Transform is used to detect line candidates in the binary images. Finally, a fuzzy C-means (FCM) clustering algorithm is used to discriminate the power lines from the detected line candidates. The properties of power lines are used to remove the spurious lines, and the length and slope of the detected lines are used as features to establish the clustering data set. Experimental results show that the algorithms proposed are effective and able to tolerate noises from complicated terrain background and various illuminations.
收录类别	EI ; CPCI（ISTP）
产权排序	2
会议录	2012 19th International Conference on Mechatronics and Machine Vision in Practice, M2VIP 2012
会议录出版者	IEEE Computer Society
会议录出版地	Washington, DC, USA
语种	英语
ISBN号	978-0-4732-0485-3
WOS记录号	WOS:000320457300014
内容类型	会议论文
源URL	[http://ir.sia.cn/handle/173321/20073]
专题	沈阳自动化研究所_机器人学研究室
推荐引用方式 GB/T 7714	Yang TW,Yin, Hang,Ruan QQ,et al. Overhead power line detection from UAV video images[C]. 见:2012 19th International Conference on Mechatronics and Machine Vision in Practice, M2VIP 2012. Auckland, New zealand. November 28-30, 2012.