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.

Date Published: 18 January 1993
PDF: 6 pages
Proc. SPIE 1713, International Conference on Manufacturing Automation, (18 January 1993); doi: 10.1117/12.138492

Published in SPIE Proceedings Vol. 1713:
International Conference on Manufacturing Automation
Anand Krishna Asundi; S. T. Tan, Editor(s)