Hostname: page-component-8448b6f56d-cfpbc Total loading time: 0 Render date: 2024-04-25T06:52:01.775Z Has data issue: false hasContentIssue false

Anomalous trichromats' judgments of surface color in natural scenes under different daylights

Published online by Cambridge University Press:  06 September 2006

RIGMOR C. BARAAS
Affiliation:
Department of Optometry & Visual Science, Buskerud University College, Norway
DAVID H. FOSTER
Affiliation:
Sensing, Imaging and Signal Processing Group, School of Electrical and Electronic Engineering, University of Manchester, Manchester, United Kingdom
KINJIRO AMANO
Affiliation:
Sensing, Imaging and Signal Processing Group, School of Electrical and Electronic Engineering, University of Manchester, Manchester, United Kingdom
SÉRGIO M.C. NASCIMENTO
Affiliation:
Department of Physics, Gualtar Campus, University of Minho, Braga, Portugal

Abstract

Deuteranomalous trichromacy, which affects medium-wavelength-sensitive cones, is more common than protanomalous trichromacy, which affects long-wavelength-sensitive cones. The aim of the present work was to test the extent to which these two kinds of anomalous trichromacy affect surface-color judgments in the natural world. Simulations of 18 natural scenes under different daylight illuminants were presented on a high-resolution color monitor to 7 deuteranomalous, 7 protanomalous, and 12 normal trichromatic observers, who had to discriminate between reflectance and illuminant changes in the images. Observers' ability to judge surface color was quantified by a standard color-constancy index. Deuteranomalous trichromats performed as well as normal trichromats, but protanomalous trichromats performed more poorly than both. The results are considered in relation to the spectral coverage of cones, rod intrusion, and the characterization of anomalous trichromacy by the Rayleigh match.

Type
CONGENITAL DEFICIENCIES
Copyright
© 2006 Cambridge University Press

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

REFERENCES

Amano, K. & Foster, D.H. (2004). Colour constancy under simultaneous changes in surface position and illuminant. Proceedings of the Royal Society of London Series B 271, 23192326.Google Scholar
Amano, K., Foster, D.H., & Nascimento, S.M.C. (2003). Red-green colour deficiency and colour constancy under orthogonal-daylight changes. In Normal and Defective Colour Vision, eds. Mollon, J.D., Pokorny, J. & Knoblauch, K., pp. 225230. Oxford: Oxford University Press.
Arend, L.E., Jr., Reeves, A., Schirillo, J., & Goldstein, R. (1991). Simultaneous color constancy: Papers with diverse Munsell values. Journal of the Optical Society of America A 8, 661672.Google Scholar
Baraas, R.C., Foster, D.H., Amano, K., & Nascimento, S.M.C. (2004). Protanopic observers show nearly normal color constancy with natural reflectance spectra. Visual Neuroscience 21, 347351.Google Scholar
Birch, J. (2001). Diagnosis of Defective Colour Vision. London: Butterworth-Heinemann.
Bramwell, D.I. & Hurlbert, A.C. (1996). Measurements of colour constancy by using a forced-choice matching technique. Perception 25, 229241.Google Scholar
Cleveland, W.S. & Devlin, S.J. (1988). Locally weighted regression: An approach to regression analysis by local fitting. Journal of the American Statistical Association 83, 596610.Google Scholar
Craven, B.J. & Foster, D.H. (1992). An operational approach to colour constancy. Vision Research 32, 13591366.Google Scholar
de Almeida, V.M.N., Fiadeiro, P.T., & Nascimento, S.M.C. (2004). Color constancy by asymmetric color matching with real objects in three-dimensional scenes. Visual Neuroscience 21, 341345.Google Scholar
DeMarco, P., Pokorny, J., & Smith, V.C. (1992). Full-spectrum cone sensitivity functions for X-chromosome-linked anomalous trichromats. Journal of the Optical Society of America A 9, 14651476.Google Scholar
Dominy, N.J. & Lucas, P.W. (2001). Ecological importance of trichromatic vision to primates. Nature 410, 363366.Google Scholar
Efron, B. & Tibshirani, R.J. (1993). An Introduction to the Bootstrap. New York: Chapman & Hall.
Federal Geographic Data Committee. (1997). FGDC Guiding Principles for Vegetation Classification (FGDC-STD-005). U.S. Geological Survey, Reston, Virginia.
Foster, D.H. (1976). Rod-cone interaction in the after-flash effect. Vision Research 16, 393396.Google Scholar
Foster, D.H., Amano, K., & Nascimento, S.M.C. (2003). Tritanopic colour constancy under daylight changes? In Normal and Defective Colour Vision, eds. Mollon, J.D., Pokorny, J. & Knoblauch, K., pp. 218224. Oxford: Oxford University Press.
Foster, D.H., Amano, K., & Nascimento, S.M. (2006). Color constancy in natural scenes explained by global image statistics. Visual Neuroscience 23, 341349.Google Scholar
Foster, D.H. & Linnell, K.J. (1995). Evidence for relational colour constancy in red-green colour-deficient human observers. Journal of Physiology 485P, 23P.Google Scholar
Foster, D.H. & Nascimento, S.M.C. (1994). Relational colour constancy from invariant cone-excitation ratios. Proceedings of the Royal Society of London Series B 257, 115121.Google Scholar
Foster, D.H., Nascimento, S.M.C., & Amano, K. (2004). Information limits on neural identification of colored surfaces in natural scenes. Visual Neuroscience 21, 331336.Google Scholar
Foster, D.H., Nascimento, S.M.C., Amano, K., Arend, L., Linnell, K.J., Nieves, J.L., Plet, S., & Foster, J.S. (2001). Parallel detection of violations of color constancy. Proceedings of the National Academy of Sciences of the U.S.A. 98, 81518156.Google Scholar
Foster, D.H., Nascimento, S.M.C., & Linnell, K.J. (1997). Colour constancy from colour relations in the normal and colour-deficient observer. In John Dalton's Colour Vision Legacy, eds. Dickinson, C., Murray, I. & Carden, D., pp. 453461. London: Taylor and Francis.
Frumkes, T.E. (1990). Classical and modern psychophysical studies of dark and light adaptation and their relationship to underlying retinal function. In Science of Vision, ed. Leibovic, K.N., pp. 172210. New York: Springer-Verlag.
Frumkes, T.E., Naarendorp, F., & Goldberg, S.H. (1986). The influence of cone adaptation upon rod mediated flicker. Vision Research 26, 11671176.Google Scholar
Frumkes, T.E., Sekuler, M.D., Barris, M.C., Reiss, E.H., & Chalupa, M. (1973). Rod-cone interaction in human scotopic vision—I. Temporal analysis. Vision Research 13, 12691282.Google Scholar
Judd, D.B., MacAdam, D.L., & Wyszecki, G. (1964). Spectral distribution of typical daylight as a function of correlated color temperature. Journal of the Optical Society of America 54, 10311040.Google Scholar
Kraft, J.M. & Brainard, D.H. (1999). Mechanisms of color constancy under nearly natural viewing. Proceedings of the National Academy of Sciences of the U.S.A. 96, 307312.Google Scholar
Linnell, K.J. & Foster, D.H. (1996). Dependence of relational colour constancy on the extraction of a transient signal. Perception 25, 221228.Google Scholar
Lucas, P.W., Dominy, N.J., Riba-Hernandez, P., Stoner, K.E., Yamashita, N., Loría-Calderón, E., Petersen-Pereira, W., Rojas-Durán, Y., Salas-Pena, R., Solis-Madrigal, S., Osorio, D., & Darvellg, B.W. (2003). Evolution and function of routine trichromatic vision in primates. Evolutionary Anthropology 57, 26362643.Google Scholar
MacLeod, D.I.A. (1972). Rods cancel cones in flicker. Nature 235, 173174.Google Scholar
Munsell Color Corporation (1976). Munsell Book of Color-Matte Finish Collection. Munsell Color Corp., Baltimore, Maryland.
Nascimento, S.M.C., Ferreira, F.P., & Foster, D.H. (2002). Statistics of spatial cone-excitation ratios in natural scenes. Journal of the Optical Society of America A 19, 14841490.Google Scholar
Nascimento, S.M.C. & Foster, D.H. (1997). Detecting natural changes of cone-excitation ratios in simple and complex coloured images. Proceedings of the Royal Society of London Series B 264, 13951402.Google Scholar
Pokorny, J., Smith, V.C., & Verriest, G. (1979). Congenital color defects. In Congenital and Acquired Color Vision Defects, eds. Pokorny, J., Smith, V.C., Verriest, G. & Pinckers, A.J.L.G., pp. 183241. New York: Grune and Stratton.
Regan, B.C., Reffin, J.P., & Mollon, J.D. (1994). Luminance noise and the rapid determination of discrimination ellipses in colour deficiency. Vision Research 34, 12791299.Google Scholar
Rüttiger, L., Mayser, H., Sérey, L., & Sharpe, L.T. (2001). The colour constancy of the red-green color blind. Color Research and Application 26, S209S213.Google Scholar
Shapiro, A.G., Pokorny, J., & Smith, V.C. (1996). Cone-rod receptor spaces with illustrations that use CRT phosphor and light-emitting-diode spectra. Journal of the Optical Society of America A 13, 23192328.Google Scholar
Sharpe, L.T., Stockman, A., Jagle, H., & Nathans, J. (1999). Opsin genes, cone photopigments, color vision, and color blindness. In Color Vision, eds. Gegenfurtner, K.R. & Sharpe, L.T., pp. 351. Cambridge: Cambridge University Press.
Simunovic, M.P., Regan, B.C., & Mollon, J.D. (2001). Is color vision deficiency an advantage under scotopic conditions? Investigative Ophthalmology and Visual Science 42, 33573364.Google Scholar
Smith, V.C. & Pokorny, J. (1975). Spectral sensitivity of the foveal cone photopigments between 400 and 500 nm. Vision Research 15, 161171.Google Scholar
Stiles, W.S. (1959). Color vision: The approach through increment-threshold sensitivity. Proceedings of the National Academy of Sciences of the U.S.A. 45, 100114.Google Scholar
Sumner, P. & Mollon, J.D. (2000). Catarrhine photopigments are optimized for detecting targets against a foliage background. Journal of Experimental Biology 203, 19631986.Google Scholar
Sun, H., Pokorny, J., & Smith, V.C. (2001). Control of the modulation of human photoreceptors. Color Research and Application 26, S69S75.Google Scholar
UNESCO. (1973). International classification and mapping of vegetation. Paris: UNESCO Publishing.
Wright, W.D. (1946). Researches on Normal and Defective Color Vision. London: Henry Kimpton.
Wyszecki, G. & Stiles, W.S., eds. (1982). Color Science: Concepts and Methods, Quantitative Data and Formulae. New York: John Wiley & Sons.