11 March 1993 Automatic recognition and analysis of surface defects on pickled-steel sheet
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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.
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Florent Dupont, Florent Dupont, Christophe Odet, Christophe Odet, F. Michel Carton, F. Michel Carton, Patrick Alexandre, 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); doi: 10.1117/12.141792; https://doi.org/10.1117/12.141792
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