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Proceedings Paper

Framework for industrial visual surface inspections
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Paper Abstract

A key problem in using automatic visual surface inspection in industry is training and tuning the systems to perform in a desired manner. This may take from minutes up to a year after installation, and can be a major cost. Based on our experiences the training issues need to be taken into account from the very beginning of system design. In this presentation we consider approaches for visual surface inspection and system training. We advocate using a non-supervised learning based visual training method.

Paper Details

Date Published: 1 May 2003
PDF: 6 pages
Proc. SPIE 5132, Sixth International Conference on Quality Control by Artificial Vision, (1 May 2003); doi: 10.1117/12.514928
Show Author Affiliations
Olli Silven, Univ. of Oulu (Finland)
Matti Niskanen, Univ. of Oulu (Finland)


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

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