Advertisement

Metrics in Color Spaces: Im Kleinen und im Großen

  • Tarow Indow
Chapter
  • 179 Downloads
Part of the Recent Research in Psychology book series (PSYCHOLOGY)

Abstract

Colors can be represented as points in various three-dimensional spaces. It has been a tradition in color science to regard just-noticeable differences in a space denoted (x, y, Y) as line-elements and the Munsell solid defined in another space as a structure in which supra-threshold color differences are represented. These ideas and also the relationship between these two “metrics” are discussed with special attention to two different modes of appearance, aperture and surface colors.

Keywords

Color Space Color Difference Surface Color Color Stimulus Chromaticity Diagram 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Drösler, J. (1990). Quantitative psychology. Toronto: Hogrefe & Huber.Google Scholar
  2. Falmagne, J.C. (1971). The generalized Fechner Problem and discrimination. Journal of Mathematical Psychology, 8, 22–43.CrossRefGoogle Scholar
  3. Indow, T. (1980). Global color metrics and color appearance systems. Color Research and Application, 5, 5–12.CrossRefGoogle Scholar
  4. Indow, T. (1987). Psychologically unique hues in aperture and surface colors. Farbe, 34, 253–260.Google Scholar
  5. Indow, T. (1988). Multidimensional studies of Munsell color solid. Psychological Review, 95, 456–470.PubMedCrossRefGoogle Scholar
  6. Indow, T. (1991). A critical review of Luneburg’s model with regard to global structure of visual space. Psychological Review, 98, 430–453.PubMedCrossRefGoogle Scholar
  7. Indow, T., & Morrison, M.L. (1991). Construction of discrimination ellipsoids for surface colors by the method of constant stimuli. Color Research and Application, 16, 42–56.CrossRefGoogle Scholar
  8. Indow, T., Robertson, A.R., Grunau, M. von, & Fielder, G.H. (1992). Discrimination ellipsoids of aperture and simulated surface colors by matching and paired comparison. Color Research and Application, 17, 6–23.CrossRefGoogle Scholar
  9. Krantz, D.H. (1971). Integration of just-noticeable differences. Journal of Mathematical Psychology, 8, 591–599.CrossRefGoogle Scholar
  10. Luce, R.D. (1963). Psychophysical scaling. In R.D. Luce, R.R. Bush, & E. Galanter (Eds.) Handbook of mathematical psychology (Vol. 1, pp. 245–307). New York: Wiley.Google Scholar
  11. Nagy, A.L., Eskew, R.T. Jr., & Boynton, R.M. (1987). Analysis of color-matching ellipses in a cone-excitation space. Journal of the Optical Society of America, A4, 756–768.Google Scholar
  12. Seim, T., & Valberg, A. (1986). Towards a uniform color space: A better formula to describe the Munsell and OSA color scales. Color Research and Application, 11, 11–24.CrossRefGoogle Scholar
  13. Suppes, P., Krantz, D.M., Luce, R.D., & Tversky, A. (Eds.) (1989). Color and force measurement. In Foundations of measurement (Vol. 2, pp. 226–298). New York: Academic Press.Google Scholar
  14. Wyszecki, G., & Stiles, W.S. (1982). Color science: Concepts and methods, quantitative data and formulae. New York: Wiley.Google Scholar

Copyright information

© Springer-Verlag New York, Inc. 1994

Authors and Affiliations

  • Tarow Indow
    • 1
    • 2
  1. 1.School of Social SciencesUniversity of CaliforniaIrvineUSA
  2. 2.Department of Cognitive SciencesUniversity of CaliforniaIrvineUSA

Personalised recommendations