Paper
1 May 2003 Content-based retrieval of surface defect images with MPEG-7 descriptors
Jussi Pakkanen, Jukka Iivarinen
Author Affiliations +
Proceedings Volume 5132, Sixth International Conference on Quality Control by Artificial Vision; (2003) https://doi.org/10.1117/12.514962
Event: Quality Control by Artificial Vision, 2003, Gatlinburg, TE, United States
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.
© (2003) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jussi Pakkanen and Jukka Iivarinen "Content-based retrieval of surface defect images with MPEG-7 descriptors", Proc. SPIE 5132, Sixth International Conference on Quality Control by Artificial Vision, (1 May 2003); https://doi.org/10.1117/12.514962
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CITATIONS
Cited by 2 scholarly publications.
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KEYWORDS
Databases

Inspection

Content based image retrieval

Feature extraction

Image retrieval

Distance measurement

Image filtering

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