Multi-modal defect detection of residual oxide scale on a cold stainless steel strip

Author:

Martin D.,Guinea D. M.,García-Alegre M. C.,Villanueva E.,Guinea D.

Publisher

Springer Science and Business Media LLC

Subject

Computer Science Applications,Computer Vision and Pattern Recognition,Hardware and Architecture,Software

Reference38 articles.

1. Ahmed R., Sutcliffe M.P.F.: Identification of surface features on cold-rolled stainless steel strip. Wear 244, 60–70 (2000)

2. Batchelor B.G., Whelan P.F.: Intelligent Vision Systems for Industry. Springer-Verlag, Berlin (1997)

3. Bonelo, J.M., Vizoso, J., Espejo, S., Cañero, J.M., Morillas, S., Guinea, D., Martin, D., Villanueva, E.: Dispositivo para la detección y clasificación de oxido residual en líneas de producción de laminados metálicos. Patent, P2007_00865(3), ACERINOX, S.A., Palmones-Los Barrios, Cádiz (2007)

4. Bonse J., Bachelier G., Siegel J., Solís J.: Time and space resolved dynamics of melting, ablation, and solidification phenomena induced by femtosecond laser pulses in germanium. Phys. Rev. B 74, 134106 (2006)

5. Cognex Corporation. Machine Vision Systems. Natick, MA 01760-2059, United States of America. http://www.cognex.com/

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