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Proceedings Paper

Optical processor for real-time detection of defects in textile webs
Author(s): Mario Kreissl; Heiko Schwarzer; Stephan Teiwes; Hartmut Gruber; Sven Krueger; Guenther K.G. Wernicke
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Paper Abstract

Image processing has become a topic of high relevance for automated product inspection in industrial manufacturing. A typical problem is the examination of structured surfaces of textiles to identify or classify defects. Product inspection under real-time conditions requires very powerful image processing systems which motivates the implementation of optical system concepts. In this paper we present a prototype of a coherent-optical processor which is used for the detection of defects in textile web images at video frame rate. After discussing the processor architecture and its underlying filter concept experimental results demonstrate the applicability of the system which is proposed to work as preprocessor in an opto-electronic image processing system.

Paper Details

Date Published: 27 March 1997
PDF: 5 pages
Proc. SPIE 3073, Optical Pattern Recognition VIII, (27 March 1997); doi: 10.1117/12.270377
Show Author Affiliations
Mario Kreissl, Berlin Institute of Optics (Germany)
Heiko Schwarzer, Berlin Institute of Optics (Germany)
Stephan Teiwes, Berlin Institute of Optics (Germany)
Hartmut Gruber, Humboldt Univ. Berlin (Germany)
Sven Krueger, Humboldt Univ. Berlin (Germany)
Guenther K.G. Wernicke, Humboldt Univ. Berlin (Germany)

Published in SPIE Proceedings Vol. 3073:
Optical Pattern Recognition VIII
David P. Casasent; Tien-Hsin Chao, Editor(s)

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