Study on Surface Defect Detection of Automobile Seat

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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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  -