Study on Algorithms of Power Line Extraction Based on Power Line Image Feature

DOI

10.2991/eeeis-17.2017.33How to use a DOI?

Keywords

UAV, Power Line, Extraction, Algorithms

Abstract

Using small commercial UAV equipped with a simple visible light camera, to obtain the depth information of power line and the ground by monocular or binocular vision is the focus of research. Among them, how to use digital image processing method to extract the power line quickly, accurately, automatically is one of the core issues. This paper analyzes the Hough transform , Radon transform and LSD algorithm in terms ofthe effect of power line extraction by contrast. The problems of the three algorithms are pointed out, a kind of Power line extraction algorithm based on image feature of power line is put forward, in order to increase the accuracy rate of power line detection. Relative experiments are done to verity the effectiveness of algorithm.

Copyright

© 2017, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Wen-Yu WANG
AU  - Yuan-Jing LIU
AU  - Le ZHAO
AU  - Xian-Pei WANG
PY  - 2017/09
DA  - 2017/09
TI  - Study on Algorithms of Power Line Extraction Based on Power Line Image Feature
BT  - Proceedings of the 3rd Annual International Conference on Electronics, Electrical Engineering and Information Science (EEEIS 2017)
PB  - Atlantis Press
SP  - 240
EP  - 244
SN  - 2352-5401
UR  - https://doi.org/10.2991/eeeis-17.2017.33
DO  - 10.2991/eeeis-17.2017.33
ID  - WANG2017/09
ER  -