18 May 1987 Picture Processing Techniques for Interpreting Experimental Data
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Proceedings Volume 0730, Automated Inspection and Measurement; (1987) https://doi.org/10.1117/12.937858
Event: Cambridge Symposium_Intelligent Robotics Systems, 1986, Cambridge, MA, United States
Abstract
This paper describes the use of AI methods (in particular, rule-based and syntactic pattern recognition techniques) for signal and image interpretation. Our intention is to show how such techniques can be integrated into a research methodology for data-reduction and interpretation of massive experimental data resulting from laser relaxometry of crytallization processes. This practical example will be discussed, by first introducing the problem and then showing how artificial intelligence, in con junction with pattern-recognition techniques, were used to find solutions.
© (1987) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Yan M. Yufik, Michael J. W. Chen, "Picture Processing Techniques for Interpreting Experimental Data", Proc. SPIE 0730, Automated Inspection and Measurement, (18 May 1987); doi: 10.1117/12.937858; https://doi.org/10.1117/12.937858
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