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Proceedings Paper

Using Knowledge To Improve The Scope And Efficiency Of Image Processing In Fringe Analysis
Author(s): Alan C. Gillies; Anna Hart
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Paper Abstract

Intelligent behaviour in image processing is highly desirable. In this context 'intelligence' includes the efficacious use of techniques, consideration of context and adaptivity to situations. Analysis of human pattern recognition and interpretation can give powerful insights into the possibilities for automation or part automation of the image analysis process. A study has been made of the analysis of photoelastic fringe patterns. Low level image processing techniques can be very powerful, but they suffer from a number of deficiencies, notably a lack of discernment and the imposition of characteristics upon the image. Aspects of knowledge about the physical problem, the problem geometry, the relationships between fringes within a pattern and the characteristics imposed by low-level processing have all been employed to produce better results than those obtainable from low-level processing.

Paper Details

Date Published: 21 March 1989
PDF: 10 pages
Proc. SPIE 1095, Applications of Artificial Intelligence VII, (21 March 1989); doi: 10.1117/12.969322
Show Author Affiliations
Alan C. Gillies, IT Institute (United Kingdom)
Anna Hart, Lancashire Polytechnic (United Kingdom)

Published in SPIE Proceedings Vol. 1095:
Applications of Artificial Intelligence VII
Mohan M. Trivedi, Editor(s)

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