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Proceedings Paper

SLM operating curves for statistical pattern recognition metrics
Author(s): Richard D. Juday; John Michael Rollins; Stanley E. Monroe
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Paper Abstract

We show how the signal to noise ratio distributes ideally in the complex plane of filter values, and we show how it is captured in its representation on the restricted set of values the filter SLM is able to realize. The ability to take strong advantage of a large dynamic range of filter magnitude is apparent. Further work will extend this concept to other metrics of optical correlator performance, including statistical pattern recognition criterion functions such as Bayes' error, ROC (receiver operating characteristic) curve's area, and Fisher ratio.

Paper Details

Date Published: 20 March 2001
PDF: 14 pages
Proc. SPIE 4387, Optical Pattern Recognition XII, (20 March 2001); doi: 10.1117/12.421149
Show Author Affiliations
Richard D. Juday, NASA Johnson Space Ctr. (United States)
John Michael Rollins, Hernandez Engineering (United States)
Stanley E. Monroe, Lockheed Martin Engineering and Sciences (United States)


Published in SPIE Proceedings Vol. 4387:
Optical Pattern Recognition XII
David P. Casasent; Tien-Hsin Chao, Editor(s)

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