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Proceedings Paper

Automatic configuration of surface inspection systems
Author(s): Christian Kueblbeck; Thomas Wagner
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Paper Abstract

Automatic image processing systems suffer from high engineering costs that are necessary to adapt the configuration of the system to the problem under consideration. As a consequence, this paper presents an approach to reduce these costs by applying optimization methods to the setup and the configuration of an image processing system. We report on experiments in which we automatically select adequate subsets of textural features from a large set of potential candidates. In addition we tell how and why training pattern selection is used as a part of the optimization process. Finally we show how genetic programming can be used for the construction of new genetic feature sets. This method has no conventional pendant and offers an interesting way to complement the algorithms made by humans.

Paper Details

Date Published: 15 April 1997
PDF: 11 pages
Proc. SPIE 3029, Machine Vision Applications in Industrial Inspection V, (15 April 1997); doi: 10.1117/12.271235
Show Author Affiliations
Christian Kueblbeck, Fraunhofer Institute for Integrated Circuits (Germany)
Thomas Wagner, Fraunhofer Institute for Integrated Circuits (Germany)

Published in SPIE Proceedings Vol. 3029:
Machine Vision Applications in Industrial Inspection V
A. Ravishankar Rao; Ning S. Chang, Editor(s)

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