Proceedings Paper
Industrial applications of optical fuzzy syntactic pattern recognition| Format | Member Price | Non-Member Price |
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Paper Abstract
Industrial flaw detection is not always amenable to template matching approaches. Some flaws have fuzzy descriptions which serve better than prototypes for representation. Optical Fuzzy Syntactic Pattern Recognition is well adapted to this situation.
Paper Details
Date Published: 1 January 1991
PDF: 7 pages
Proc. SPIE 1332, Optical Testing and Metrology III: Recent Advances in Industrial Optical Inspection, (1 January 1991); doi: 10.1117/12.51079
Published in SPIE Proceedings Vol. 1332:
Optical Testing and Metrology III: Recent Advances in Industrial Optical Inspection
Chander Prakash Grover, Editor(s)
PDF: 7 pages
Proc. SPIE 1332, Optical Testing and Metrology III: Recent Advances in Industrial Optical Inspection, (1 January 1991); doi: 10.1117/12.51079
Show Author Affiliations
H. John Caulfield, Univ. of Alabama in Huntsville (United States)
Published in SPIE Proceedings Vol. 1332:
Optical Testing and Metrology III: Recent Advances in Industrial Optical Inspection
Chander Prakash Grover, Editor(s)
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