Flaw detection on galvanized metallic strips in real time by adaptive thresholding

Ludovic Macaire; Jack-Gerard Postaire

doi:10.1117/12.164868

17 December 1993 Flaw detection on galvanized metallic strips in real time by adaptive thresholding

Ludovic Macaire, Jack-Gerard Postaire

Proceedings Volume 1989, Computer Vision for Industry; (1993) https://doi.org/10.1117/12.164868
Event: Electronic Imaging Device Engineering, 1993, Munich, Germany

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.

Citation Download Citation

Ludovic Macaire and Jack-Gerard Postaire "Flaw detection on galvanized metallic strips in real time by adaptive thresholding", Proc. SPIE 1989, Computer Vision for Industry, (17 December 1993); https://doi.org/10.1117/12.164868

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