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