Paper
19 July 1999 Color optical pattern recognition using nonlinear morphological correlation
Author Affiliations +
Proceedings Volume 3749, 18th Congress of the International Commission for Optics; (1999) https://doi.org/10.1117/12.355078
Event: ICO XVIII 18th Congress of the International Commission for Optics, 1999, San Francisco, CA, United States
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.
© (1999) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Pascuala Garcia-Martinez, Carlos Ferreira, Javier Garcia, and E. Signes "Color optical pattern recognition using nonlinear morphological correlation", Proc. SPIE 3749, 18th Congress of the International Commission for Optics, (19 July 1999); https://doi.org/10.1117/12.355078
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Cited by 5 scholarly publications.
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KEYWORDS
Optical pattern recognition

Nonlinear optics

Pattern recognition

Image processing

RGB color model

Nonlinear dynamics

Optical correlators

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