Paper
25 October 1993 Synthetic discriminant functions using relaxed constraints
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Abstract
Historically synthetic discriminant functions have been designed using specific constraints in the encoding methodologies. In this paper we consider several design alternatives which eliminate the constraints yet appear to perform equally well with the classical versions. These new encoding methods are also found to require a significant reduction in computation with inherently better encoding accuracy. In addition, we discuss a very simple encoding method that allows for a significant increase in the number of references that can be incorporated in a filter.
© (1993) 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, and Abhijit Mahalanobis "Synthetic discriminant functions using relaxed constraints", Proc. SPIE 1959, Optical Pattern Recognition IV, (25 October 1993); https://doi.org/10.1117/12.160283
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Cited by 5 scholarly publications.
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KEYWORDS
Computer programming

Optical filters

Detection and tracking algorithms

Image filtering

Optical pattern recognition

Distortion

Target recognition

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