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Proceedings Paper

Color Vision: Machine And Human
Author(s): Jussi Parkkinen; Timo Jaaskelainen
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Paper Abstract

Color vision is nowadays an important and intensively studied field as well in the machine vision research as in the human vision research. There are numerous (three dimensional) color coordinate systems used in machine vision, and most of them are based on simplified models of human vision. Thought many times sufficient, three dimensional color representation does not give needed accuracy allways. To achieve better performance, multispectral imaging and analysis methods are needed. A pattern recognition based color analysis method, the subspace approach, is described in this paper. This method is applicable to color discrimination, recognition, and classification. Eigen-spectra information of natural colors is compared to anatomical and physiological data on color vision mechanism. Interesting similarities were observed.

Paper Details

Date Published: 1 November 1989
PDF: 9 pages
Proc. SPIE 1199, Visual Communications and Image Processing IV, (1 November 1989); doi: 10.1117/12.970128
Show Author Affiliations
Jussi Parkkinen, University of Kuopio (Finland)
The University of Iowa (United States)
Timo Jaaskelainen, University of Kuopio (Finland)

Published in SPIE Proceedings Vol. 1199:
Visual Communications and Image Processing IV
William A. Pearlman, Editor(s)

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