Proceedings of the 2nd International Conference on Electronic & Mechanical Engineering and Information Technology (EMEIT 2012)

Edge Detection In Pavement Crack Image With Beamlet Transform

Authors
Aiguo OUYANG, Yaping Wang
Corresponding Author
Aiguo OUYANG
Available Online September 2012.
DOI
10.2991/emeit.2012.451How to use a DOI?
Keywords
Edge Detection, Pavement Crack, beamlet transform, Otsu's thresholding segmentation algorithm.
Abstract

This paper proposed a beamlet-based method of extraction from pavement crack images. Fitstly, we transfer the collected pavement crack images to the binary images using Otsu's thresholding segmentation algorithm, then the beamlet transform was exploited to extract the linear features of cracks from the binary images with different scales and thresholds. Experiments show that the proposed algorithm can achieve satisfactory performance in the cases of low signal-to-noise ratios.

Copyright
© 2012, 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 2nd International Conference on Electronic & Mechanical Engineering and Information Technology (EMEIT 2012)
Series
Advances in Intelligent Systems Research
Publication Date
September 2012
ISBN
978-90-78677-60-4
ISSN
1951-6851
DOI
10.2991/emeit.2012.451How to use a DOI?
Copyright
© 2012, 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  - Aiguo OUYANG
AU  - Yaping Wang
PY  - 2012/09
DA  - 2012/09
TI  - Edge Detection In Pavement Crack Image With Beamlet Transform
BT  - Proceedings of the 2nd International Conference on Electronic & Mechanical Engineering and Information Technology (EMEIT 2012)
PB  - Atlantis Press
SP  - 2036
EP  - 2039
SN  - 1951-6851
UR  - https://doi.org/10.2991/emeit.2012.451
DO  - 10.2991/emeit.2012.451
ID  - OUYANG2012/09
ER  -