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Proceedings Paper

New filters for optical correlators
Author(s): Nickolay N. Evtikhiev; Peter A. Ivanov; Alexey V. Kamensky; Rostislav S. Starikov
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Paper Abstract

Authors made theoretical research in building of correlation filters, using direct decomposition of integral transforms on correspondent orthonormal basis. The obtained filters have different properties, which are quite good for different image recognition problems: 1). Such filters itself have all properties of elementary function; 2). From the family of such filters we can easily make MACE filters (authors made it for the case of wavelet transform); 3). Invariant properties of filters of this family are determined by the presence of such properties in integral transform, which is the base for construction of such filters (so we can select these properties by the selection of the type of transform). Also authors made experimental check-up of modeling of results on a computer. Results of modeling shows good perspective of such filters in solving of such problems.

Paper Details

Date Published: 7 June 2002
PDF: 8 pages
Proc. SPIE 4735, Hybrid Image and Signal Processing VIII, (7 June 2002); doi: 10.1117/12.470110
Show Author Affiliations
Nickolay N. Evtikhiev, Moscow Engineering Physics Institute (Russia)
Peter A. Ivanov, Moscow Engineering Physics Institute (Russia)
Alexey V. Kamensky, Moscow Engineering Physics Institute (Russia)
Rostislav S. Starikov, Moscow Engineering Physics Institute (Russia)

Published in SPIE Proceedings Vol. 4735:
Hybrid Image and Signal Processing VIII
David P. Casasent; Andrew G. Tescher, Editor(s)

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