Proceedings of the 2018 8th International Conference on Management, Education and Information (MEICI 2018)

Study Based on the Edge Detection Algorithm Improved by Canny

Authors
Wei Zhang, Sijiao Zhu
Corresponding Author
Wei Zhang
Available Online December 2018.
DOI
10.2991/meici-18.2018.149How to use a DOI?
Keywords
Railway transportation; Foreign invasion limit; Canny arithmetic operators; Open median filter
Abstract

Edge detection is a key technique for detecting foreign objects intrusion on railway rails. For the problem of poor detection of rail image edge, a rail edge detection extraction scheme based on Canny edge detection technology and convergence connection method is proposed in this paper. Through the histogram equalization, the spatial enhancement of original image is achieved, and the details of the image are highlighted, the edge combination of the image is extracted through the Canny edge detection, and the longest two lines in the edge combination satisfying the conditions are extracted by using the convergent continuation method proposed in this paper, and continue to implement it, which can achieve the purpose of rail edge extraction.

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 2018 8th International Conference on Management, Education and Information (MEICI 2018)
Series
Advances in Intelligent Systems Research
Publication Date
December 2018
ISBN
978-94-6252-640-2
ISSN
1951-6851
DOI
10.2991/meici-18.2018.149How 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

TY  - CONF
AU  - Wei Zhang
AU  - Sijiao Zhu
PY  - 2018/12
DA  - 2018/12
TI  - Study Based on the Edge Detection Algorithm Improved by Canny
BT  - Proceedings of the 2018 8th International Conference on Management, Education and Information (MEICI 2018)
PB  - Atlantis Press
SP  - 753
EP  - 756
SN  - 1951-6851
UR  - https://doi.org/10.2991/meici-18.2018.149
DO  - 10.2991/meici-18.2018.149
ID  - Zhang2018/12
ER  -