SLM operating curves for statistical pattern recognition metrics

Richard D. Juday; John Michael Rollins; Stanley E. Monroe Jr.

doi:10.1117/12.421149

20 March 2001 SLM operating curves for statistical pattern recognition metrics

Richard D. Juday, John Michael Rollins, Stanley E. Monroe Jr.

Proceedings Volume 4387, Optical Pattern Recognition XII; (2001) https://doi.org/10.1117/12.421149
Event: Aerospace/Defense Sensing, Simulation, and Controls, 2001, Orlando, FL, United States

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.

Citation Download Citation

Richard D. Juday, John Michael Rollins, and Stanley E. Monroe Jr. "SLM operating curves for statistical pattern recognition metrics", Proc. SPIE 4387, Optical Pattern Recognition XII, (20 March 2001); https://doi.org/10.1117/12.421149

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