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Proceedings Paper

Design of synthetic discriminant functions for use in a hybrid digital-optical correlator
Author(s): Lin Shang; Brian F. Scott; James H. Sharp
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Paper Abstract

A design method for synthetic discriminant functions is described that optimizes filter performance by an appropriate weighting of the phase and of amplitude components of the training set images. The optimization criteria are the quality of discrimination of in-class and rejection of out-of-class images, filter efficiency and robustness in the presence of noise. The comparison is with the POF/fSDF. A practical demonstration is found in the application of a so optimized filter in a hybrid correlator.

Paper Details

Date Published: 27 March 1997
PDF: 11 pages
Proc. SPIE 3073, Optical Pattern Recognition VIII, (27 March 1997); doi: 10.1117/12.270364
Show Author Affiliations
Lin Shang, Univ. of Glasgow (United Kingdom)
Brian F. Scott, Univ. of Glasgow (United Kingdom)
James H. Sharp, Univ. of Glasgow (United Kingdom)


Published in SPIE Proceedings Vol. 3073:
Optical Pattern Recognition VIII
David P. Casasent; Tien-Hsin Chao, Editor(s)

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