Chromatic characterization of a three-channel colorimeter using back-propagation neural networks

This work describes a method for the chromatic characterization of a three-channel colorimeter of recent design and construction dedicated to color vision research. The colorimeter consists of two fixed monochromators and a third monochromator interchangeable with a cathode ray tube or any other ext...

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Bibliographic Details
Published in:Review of scientific instruments 2004-09, Vol.75 (9), p.2876-2879
Main Authors: Pardo, P. J., Pérez, A. L., Suero, M. I.
Format: Article
Language:English
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Summary:This work describes a method for the chromatic characterization of a three-channel colorimeter of recent design and construction dedicated to color vision research. The colorimeter consists of two fixed monochromators and a third monochromator interchangeable with a cathode ray tube or any other external light source. Back-propagation neural networks were used for the chromatic characterization to establish the relationship between each monochromator’s input parameters and the tristimulus values of each chromatic stimulus generated. The results showed the effectiveness of this type of neural-network-based system for the chromatic characterization of the stimuli produced by any monochromator.
ISSN:0034-6748
1089-7623
DOI:10.1063/1.1786334