Proceedings of the 4th International Conference on Mechatronics, Materials, Chemistry and Computer Engineering 2015

A Novel Radon Transform and AR Model in Crack Detection

Authors
Siming Yang, Peng Xue, Ao Hong, Zhou Bo, Haicheng Liu, Mingri Cong
Corresponding Author
Siming Yang
Available Online December 2015.
DOI
10.2991/icmmcce-15.2015.104How to use a DOI?
Keywords
Radon Transform; AR model; Crack Detection
Abstract

Aiming at the peak extraction problem in the radon space, a peak extraction method based on AR model is proposed to detect component crack value. A profile analysis technique is used to take profile in Radon space and reconstruct profile with AR model to get a sharp and prominent peak for crack value extraction. Intensive experiments have shown that the proposed method is effective in estimating the component crack and lessening peak extraction difficulty.

Copyright
© 2015, 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 4th International Conference on Mechatronics, Materials, Chemistry and Computer Engineering 2015
Series
Advances in Computer Science Research
Publication Date
December 2015
ISBN
10.2991/icmmcce-15.2015.104
ISSN
2352-538X
DOI
10.2991/icmmcce-15.2015.104How to use a DOI?
Copyright
© 2015, 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  - Siming Yang
AU  - Peng Xue
AU  - Ao Hong
AU  - Zhou Bo
AU  - Haicheng Liu
AU  - Mingri Cong
PY  - 2015/12
DA  - 2015/12
TI  - A Novel Radon Transform and AR Model in Crack Detection
BT  - Proceedings of the 4th International Conference on Mechatronics, Materials, Chemistry and Computer Engineering 2015
PB  - Atlantis Press
SP  - 517
EP  - 520
SN  - 2352-538X
UR  - https://doi.org/10.2991/icmmcce-15.2015.104
DO  - 10.2991/icmmcce-15.2015.104
ID  - Yang2015/12
ER  -