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Bionic Vision-Based Intelligent Power Line Inspection System
Joint Authors
Li, Qingwu
Ma, Yunpeng
He, Feijia
Xi, Shuya
Xu, Jinxin
Source
Computational and Mathematical Methods in Medicine
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-13, 13 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-01-19
Country of Publication
Egypt
No. of Pages
13
Main Subjects
Abstract EN
Detecting the threats of the external obstacles to the power lines can ensure the stability of the power system.
Inspired by the attention mechanism and binocular vision of human visual system, an intelligent power line inspection system is presented in this paper.
Human visual attention mechanism in this intelligent inspection system is used to detect and track power lines in image sequences according to the shape information of power lines, and the binocular visual model is used to calculate the 3D coordinate information of obstacles and power lines.
In order to improve the real time and accuracy of the system, we propose a new matching strategy based on the traditional SURF algorithm.
The experimental results show that the system is able to accurately locate the position of the obstacles around power lines automatically, and the designed power line inspection system is effective in complex backgrounds, and there are no missing detection instances under different conditions.
American Psychological Association (APA)
Li, Qingwu& Ma, Yunpeng& He, Feijia& Xi, Shuya& Xu, Jinxin. 2017. Bionic Vision-Based Intelligent Power Line Inspection System. Computational and Mathematical Methods in Medicine،Vol. 2017, no. 2017, pp.1-13.
https://search.emarefa.net/detail/BIM-1142156
Modern Language Association (MLA)
Li, Qingwu…[et al.]. Bionic Vision-Based Intelligent Power Line Inspection System. Computational and Mathematical Methods in Medicine No. 2017 (2017), pp.1-13.
https://search.emarefa.net/detail/BIM-1142156
American Medical Association (AMA)
Li, Qingwu& Ma, Yunpeng& He, Feijia& Xi, Shuya& Xu, Jinxin. Bionic Vision-Based Intelligent Power Line Inspection System. Computational and Mathematical Methods in Medicine. 2017. Vol. 2017, no. 2017, pp.1-13.
https://search.emarefa.net/detail/BIM-1142156
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1142156