MEDOF 3.0: optimizing composite filters in the presence of device constraints and system noise

Daniel W. Carlson; Bhagavatula Vijaya Kumar; Richard D. Juday; Abhijit Mahalanobis

doi:10.1117/12.235666

15 March 1996 MEDOF 3.0: optimizing composite filters in the presence of device constraints and system noise

Daniel W. Carlson, Bhagavatula Vijaya Kumar, Richard D. Juday, Abhijit Mahalanobis

Proceedings Volume 2752, Optical Pattern Recognition VII; (1996) https://doi.org/10.1117/12.235666
Event: Aerospace/Defense Sensing and Controls, 1996, Orlando, FL, United States

Abstract

For optical implementation of correlation filters, we must design filters that can be implemented on available spatial light modulators (SLMs). Previous versions of computer code MEDOF: minimum Euclidean distance optimal filter produced various correlation filters using a single training image. In the newest version of MEDOF, we can use a training set of images to generate composite filters that include system noise and device constraints. In this paper we present implementation issues and results using composite filters generated by MEDOF.

Citation Download Citation

Daniel W. Carlson, Bhagavatula Vijaya Kumar, Richard D. Juday, and Abhijit Mahalanobis "MEDOF 3.0: optimizing composite filters in the presence of device constraints and system noise", Proc. SPIE 2752, Optical Pattern Recognition VII, (15 March 1996); https://doi.org/10.1117/12.235666

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