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References (11)
-
C. Ingling, B. Tsou (1977)
Orthogonal combination of the three visual channelsVision Research, 17
-
S. Guth (2004)
The constancy myth, the vocabulary of color perception, and the ATD04 model, 5292
-
R. Valois, K. Valois (1993)
A multi-stage color modelVision Research, 33
-
A. Roorda, David Williams (1999)
The arrangement of the three cone classes in the living human eyeNature, 397
-
Richard Brown, D. Macleod (1997)
Color appearance depends on the variance of surround colorsCurrent Biology, 7
-
J. Carroll, J. Neitz, M. Neitz (2002)
Estimates of L:M cone ratio from ERG flicker photometry and genetics.Journal of vision, 2 8
-
Joseph Carroll, C. McMahon, M. Neitz, J. Neitz (2000)
Flicker-photometric electroretinogram estimates of L:M cone photoreceptor ratio in men with photopigment spectra derived from genetics.Journal of the Optical Society of America. A, Optics, image science, and vision, 17 3
-
A. Nagy, J. Zacks (1977)
The effects of psychophysical procedure and stimulus duration in the measurement of Bezold-Brücke hue shiftsVision Research, 17
-
R. Boynton, James Gordon (1965)
Bezold–Brücke Hue Shift Measured by Color-Naming Technique*Journal of the Optical Society of America, 55
-
Federico Bumbaca, Kenneth Smith (1987)
Design and implementation of a colour vision model for computer vision applicationsGraphical Models \/graphical Models and Image Processing \/computer Vision, Graphics, and Image Processing, 39
-
Heidi Hofer, J. Carroll, J. Neitz, M. Neitz, David Williams (2003)
Organization of the Human Trichromatic Cone MosaicThe Journal of Neuroscience, 25
- Publisher
- Wiley
- Copyright
- Copyright © 2010 Wiley Periodicals, Inc.
- ISSN
- 0361-2317
- eISSN
- 1520-6378
- DOI
- 10.1002/col.20632
- Publisher site
- See Article on Publisher Site
Abstract
According to recent physiological research results, there are many individual differences already at the detection level of our color vision system. It is not completely clear yet, how the other levels of color vision system compensate the detection differences. Instead of detecting and analyzing colors exactly in the same way, we all just have learned to classify colors in a certain way, which seems to lead almost always to the same result independent of the individual differences in the color vision system. In this article, we experiment with four models developed for replicating certain properties of human color vision. We examine the color classification abilities of these models and show the differences and similarities in their behavior. © 2010 Wiley Periodicals, Inc. Col Res Appl, 2010.
Journal
Color Research & Application – Wiley
Published: Aug 1, 2011