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Proceedings Paper

Automatic recognition and analysis of surface defects on pickled-steel sheet
Author(s): Florent Dupont; Christophe Odet; F. Michel Carton; Patrick Alexandre
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Paper Abstract

Real-time surface inspection for steel sheets is considered in this paper. Automatic defect detection and identification becomes necessary due to the fast production speed. After the industrial application description, the defect detection system based on linear cameras is described. At the moment, it provides an alarm when a defect is present. In a first step, texture classification based on co-occurrence matrices and neighboring gray level dependence matrices is used to discriminate different aspects of steel sheets. Specific image segmentation and feature extraction for the most usual texture are presented. Then features discrimination power is verified by descriptive techniques and classification methods based on neural networks and linear discrimination are compared.

Paper Details

Date Published: 11 March 1993
PDF: 12 pages
Proc. SPIE 1964, Applications of Artificial Intelligence 1993: Machine Vision and Robotics, (11 March 1993); doi: 10.1117/12.141792
Show Author Affiliations
Florent Dupont, INSA (France)
Christophe Odet, INSA (France)
F. Michel Carton, IRSID (France)
Patrick Alexandre, IRSID (France)

Published in SPIE Proceedings Vol. 1964:
Applications of Artificial Intelligence 1993: Machine Vision and Robotics
Kim L. Boyer; Louise Stark, Editor(s)

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