Using Knowledge To Improve The Scope And Efficiency Of Image Processing In Fringe Analysis

Alan C. Gillies; Anna Hart

doi:10.1117/12.969322

21 March 1989 Using Knowledge To Improve The Scope And Efficiency Of Image Processing In Fringe Analysis

Alan C. Gillies, Anna Hart

Proceedings Volume 1095, Applications of Artificial Intelligence VII; (1989) https://doi.org/10.1117/12.969322
Event: SPIE 1989 Technical Symposium on Aerospace Sensing, 1989, Orlando, FL, United States

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.

Citation Download Citation

Alan C. Gillies and Anna Hart "Using Knowledge To Improve The Scope And Efficiency Of Image Processing In Fringe Analysis", Proc. SPIE 1095, Applications of Artificial Intelligence VII, (21 March 1989); https://doi.org/10.1117/12.969322

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