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Proceedings Paper

Flaw detection on galvanized metallic strips in real time by adaptive thresholding
Author(s): Ludovic Macaire; Jack-Gerard Postaire
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Paper Abstract

This paper describes a vision system designed for automatic inspection of galvanized metallic strips in real-time. First, we present the image acquisition system whose two main components are a linear camera and a specific lighting device. In the second part, an original procedure is proposed in order to segment the line images at the line image acquisition rate. It consists in a fast adaptive thresholding scheme which determines global thresholds for each line image. In order to achieve an exhaustive control of the whole production, these tasks are run in real-time on a specific hardware architecture. The prototype described in the last section of this paper has been integrated on a production line to evaluate its efficacy.

Paper Details

Date Published: 17 December 1993
PDF: 12 pages
Proc. SPIE 1989, Computer Vision for Industry, (17 December 1993); doi: 10.1117/12.164868
Show Author Affiliations
Ludovic Macaire, Univ. des Sciences et Technologies de Lille (France)
Jack-Gerard Postaire, Univ. des Sciences et Technologies de Lille (France)


Published in SPIE Proceedings Vol. 1989:
Computer Vision for Industry
Donald W. Braggins, Editor(s)

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