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.
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