1 July 1992 Minimum squared-error: synthetic discriminant function filter performance evaluations
Author Affiliations +
Proceedings Volume 1701, Optical Pattern Recognition III; (1992); doi: 10.1117/12.138325
Event: Aerospace Sensing, 1992, Orlando, FL, United States
Several versions of synthetic discriminant functions have been proposed over the last twelve years. This paper describes the results of tests on the 'Minimum Squared Error SDF,' (MSE- SDF), a recently proposed variation, with some specific unique performance detection capabilities.
© (1992) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
S. Richard F. Sims, Jim F. Epperson, Bhagavatula Vijaya Kumar, Abhijit Mahalanobis, "Minimum squared-error: synthetic discriminant function filter performance evaluations", Proc. SPIE 1701, Optical Pattern Recognition III, (1 July 1992); doi: 10.1117/12.138325; https://doi.org/10.1117/12.138325

Optical pattern recognition


Fourier transforms

Detection and tracking algorithms

Mahalanobis distance

Optical filters

Computer programming


Synthetic discriminant functions using relaxed constraints
Proceedings of SPIE (October 25 1993)
Landscaping the correlation surface
Proceedings of SPIE (July 01 1992)
Two Variants Of The Optical Correlation Process
Proceedings of SPIE (August 22 1988)
Hierarchical filter sets for distortion-invariant OPR
Proceedings of SPIE (July 01 1992)
Intraclass recognition with distortion-invariant filters
Proceedings of SPIE (November 01 1990)

Back to Top