Automatic recognition and analysis of surface defects on pickled-steel sheet

Florent Dupont; Christophe Odet; F. Michel Carton; Patrick Alexandre

doi:10.1117/12.141792

11 March 1993 Automatic recognition and analysis of surface defects on pickled-steel sheet

Florent Dupont, Christophe Odet, F. Michel Carton, Patrick Alexandre

Proceedings Volume 1964, Applications of Artificial Intelligence 1993: Machine Vision and Robotics; (1993) https://doi.org/10.1117/12.141792
Event: Optical Engineering and Photonics in Aerospace Sensing, 1993, Orlando, FL, United States

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.

Citation Download Citation

Florent Dupont, Christophe Odet, F. Michel Carton, and Patrick Alexandre "Automatic recognition and analysis of surface defects on pickled-steel sheet", Proc. SPIE 1964, Applications of Artificial Intelligence 1993: Machine Vision and Robotics, (11 March 1993); https://doi.org/10.1117/12.141792

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