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A focus of attention mechanism for locating blob- and edge-like visual steel surfe defects, is proposed in the
paper. An inherent problem with focus of attention mechanisms is that weak events arc masked by strong events and pass
unnoticed. Solutions to this problem, based on model driven purposive vision, arc discussed. Results obtained with the
attention mechanism are illustrated with sample fect images of stretcher streams, roll marks and rust spots.
Johannes P.F. D'Haeyer
"Focus-of-attention mechanism for locating visual defects on rolled steel surfaces", Proc. SPIE 1713, International Conference on Manufacturing Automation, (18 January 1993); https://doi.org/10.1117/12.138499
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Johannes P.F. D'Haeyer, "Focus-of-attention mechanism for locating visual defects on rolled steel surfaces," Proc. SPIE 1713, International Conference on Manufacturing Automation, (18 January 1993); https://doi.org/10.1117/12.138499