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Proceedings Paper

Content-based retrieval of surface defect images with MPEG-7 descriptors
Author(s): Jussi Pakkanen; Jukka Iivarinen
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Paper Abstract

In this paper a prototype system is described for the management and content-based retrieval of defect images in huge image databases. This is a real problem in surface inspection applications, since modern inspection systems may produce up to thousands of defect images in a day. We are using a noncommercial, generic content-based image retrieval (CBIR) system called PicSOM that is modified to fit to the special requirements of our application. The system is tested with a small pre-classified database of surface defect images using the MPEG-7 features. The scalability of the system is also examined using a larger database. Results indicate that the system works with a high level of success.

Paper Details

Date Published: 1 May 2003
PDF: 8 pages
Proc. SPIE 5132, Sixth International Conference on Quality Control by Artificial Vision, (1 May 2003); doi: 10.1117/12.514962
Show Author Affiliations
Jussi Pakkanen, Helsinki Univ. of Technology (Finland)
Jukka Iivarinen, Helsinki Univ. of Technology (Finland)

Published in SPIE Proceedings Vol. 5132:
Sixth International Conference on Quality Control by Artificial Vision
Kenneth W. Tobin Jr.; Fabrice Meriaudeau, Editor(s)

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