Proceedings of the International Conference on Computer Information Systems and Industrial Applications

Study on Surface Defect Detection of Automobile Seat

Authors
X.M Zhang, H. Wang
Corresponding Author
X.M Zhang
Available Online June 2015.
DOI
10.2991/cisia-15.2015.92How to use a DOI?
Keywords
machine vision; image processing; region growing algorithm; quality inspection
Abstract

For scratches and other defects may be generated in the vehicle seat production process, an on-line detection method is introduced based on machine vision. The defects are extracted by graying, image filtering and image segmentation based on K- means clustering region growing algorithm. The illustration shows good effect of presented method in defect. The method used in this paper successfully realizes the detection of uneven texture surface.

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 International Conference on Computer Information Systems and Industrial Applications
Series
Advances in Computer Science Research
Publication Date
June 2015
ISBN
978-94-62520-72-1
ISSN
2352-538X
DOI
10.2991/cisia-15.2015.92How 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  - X.M Zhang
AU  - H. Wang
PY  - 2015/06
DA  - 2015/06
TI  - Study on Surface Defect Detection of Automobile Seat
BT  - Proceedings of the International Conference on Computer Information Systems and Industrial Applications
PB  - Atlantis Press
SP  - 338
EP  - 341
SN  - 2352-538X
UR  - https://doi.org/10.2991/cisia-15.2015.92
DO  - 10.2991/cisia-15.2015.92
ID  - Zhang2015/06
ER  -