Share Email Print

Proceedings Paper

Color optical pattern recognition using nonlinear morphological correlation
Format Member Price Non-Member Price
PDF $17.00 $21.00

Paper Abstract

The morphological correlation has been recently used as a tool in optical pattern recognition owing to its nonlinear properties. In this paper, we present an extension of the morphological correlation to color pattern recognition. We use two methods: the multichannel one, based on decomposing the image in separate channels, and the single channel method, based on codifying the color information into a single amplitude/phase distribution. Simulation results are given and optical implementation is proposed.

Paper Details

Date Published: 19 July 1999
PDF: 3 pages
Proc. SPIE 3749, 18th Congress of the International Commission for Optics, (19 July 1999); doi: 10.1117/12.355078
Show Author Affiliations
Pascuala Garcia-Martinez, Univ. de Valencia (Spain)
Carlos Ferreira, Univ. de Valencia (Spain)
Javier Garcia, Univ. de Valencia (Spain)
E. Signes, Univ. de Valencia (Spain)

Published in SPIE Proceedings Vol. 3749:
18th Congress of the International Commission for Optics
Alexander J. Glass; Joseph W. Goodman; Milton Chang; Arthur H. Guenther; Toshimitsu Asakura, Editor(s)

© SPIE. Terms of Use
Back to Top
Sign in to read the full article
Create a free SPIE account to get access to
premium articles and original research
Forgot your username?