Proceedings Paper
Color optical pattern recognition using nonlinear morphological correlation| Format | Member Price | Non-Member Price |
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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
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)
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
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)
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