Proceedings of the 2016 6th International Conference on Advanced Design and Manufacturing Engineering (ICADME 2017)

The Edge Detection of Steel Cord Pieces Based on Line Fitting

Authors
Qinzhou Niu, Lu Yuan
Corresponding Author
Qinzhou Niu
Available Online July 2017.
DOI
10.2991/icadme-16.2016.139How to use a DOI?
Keywords
Line fitting; Edge detection; Image processing; Steel cord.
Abstract

According to the high speed visual inspection requirements of steel cord pieces cut by steel cord body ply cutter( produced by a processing plant ) about edge size and angle, this paper proposed a new method of edge detection based on line fitting method. The method solved the error problem of steel cord pieces' rough selvedge, effectively suppress the influence of noise, avoided the disadvantage of the traditional algorithm which has large computation, fully considered the gray information of the interior point in the edge transition region and realized the accurate fitting. Experimental results and analysis show that the method can ensure the detection precision, and greatly improve detection effectiveness.

Copyright
© 2016, 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 2016 6th International Conference on Advanced Design and Manufacturing Engineering (ICADME 2017)
Series
Advances in Engineering Research
Publication Date
July 2017
ISBN
978-94-6252-249-7
ISSN
2352-5401
DOI
10.2991/icadme-16.2016.139How to use a DOI?
Copyright
© 2016, 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  - Qinzhou Niu
AU  - Lu Yuan
PY  - 2017/07
DA  - 2017/07
TI  - The Edge Detection of Steel Cord Pieces Based on Line Fitting
BT  - Proceedings of the 2016 6th International Conference on Advanced Design and Manufacturing Engineering (ICADME 2017)
PB  - Atlantis Press
SP  - 776
EP  - 782
SN  - 2352-5401
UR  - https://doi.org/10.2991/icadme-16.2016.139
DO  - 10.2991/icadme-16.2016.139
ID  - Niu2017/07
ER  -