Proceedings of the 8th International Conference on Management and Computer Science (ICMCS 2018)

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Research on Rapid Detection Method of Airborne Transmission lines Based on Salient Region Detection

Authors
Hongdi Ke, Ming Lu
Corresponding Author
Hongdi Ke
Available Online October 2018.
DOI
10.2991/icmcs-18.2018.119How to use a DOI?
Keywords
Salient Region Detection; LC Algorithm; HC Algorithm; FT model; Aerial Transmission Lines
Abstract

From the perspective of machine vision, this paper studied the salient area detection method of aerial transmission line image, used LC algorithm, HC algorithm, FT model to detect the salient area of air transmission line. We used MATLAB to simulate them, and results showed that FT model is better than the others.

Copyright
© 2018, 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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Volume Title
Proceedings of the 8th International Conference on Management and Computer Science (ICMCS 2018)
Series
Advances in Computer Science Research
Publication Date
October 2018
ISBN
978-94-6252-590-0
ISSN
2352-538X
DOI
10.2991/icmcs-18.2018.119How to use a DOI?
Copyright
© 2018, 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/).

Cite this article

risenwbib
TY  - CONF
AU  - Hongdi Ke
AU  - Ming Lu
PY  - 2018/10
DA  - 2018/10
TI  - Research on Rapid Detection Method of Airborne Transmission lines Based on Salient Region Detection
BT  - Proceedings of the 8th International Conference on Management and Computer Science (ICMCS 2018)
PB  - Atlantis Press
SP  - 578
EP  - 581
SN  - 2352-538X
UR  - https://doi.org/10.2991/icmcs-18.2018.119
DO  - 10.2991/icmcs-18.2018.119
ID  - Ke2018/10
ER  -