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Optical Engineering

Genetic programming applied to automatic algorithm design in multi-scale inspection systems
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Paper Abstract

In recent years image-processing has become a central part of optical inspection and measurement systems. Typically, after measuring the given specimen by utilizing a suitable sensor, image-processing algorithms are used to detect dedicated features such as surface defects. These algorithms are usually designed, optimized, and tested by an image-processing expert according to the task specifications. A methodology (based on genetic programming) is presented to automatically generate, optimize, and test such algorithms without the necessity of an image-processing expert. We also present several examples of inspection tasks to support the concept. For efficiency, an automated multi-scale multi-sensor inspection strategy is employed.

Paper Details

Date Published: 5 June 2012
PDF: 14 pages
Opt. Eng. 51(6) 067001 doi: 10.1117/1.OE.51.6.067001
Published in: Optical Engineering Volume 51, Issue 6
Show Author Affiliations
Avinash Burla, Univ. Stuttgart (Germany)
Tobias Haist, Univ. Stuttgart (Germany)
Wolfram Lyda, Univ. Stuttgart (Germany)
Wolfgang Osten, Univ. Stuttgart (Germany)


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