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Proceedings Paper

Vision-based strip inspection hardware for metal production
Author(s): Thomas M. Seitzler
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Paper Abstract

Vision-based sensors detect a variety of defects with comparative ease, and inspect 100% of the material. Current commercial capabilities using Area Parameter feature extraction techniques are examined. Hardware used in these systems is reviewed with improvements in feature extraction bandwidth considered.

Paper Details

Date Published: 1 December 1991
PDF: 4 pages
Proc. SPIE 1567, Applications of Digital Image Processing XIV, (1 December 1991); doi: 10.1117/12.50805
Show Author Affiliations
Thomas M. Seitzler, Perceptive Machines (United States)

Published in SPIE Proceedings Vol. 1567:
Applications of Digital Image Processing XIV
Andrew G. Tescher, Editor(s)

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