Hostname: page-component-78c5997874-v9fdk Total loading time: 0 Render date: 2024-11-09T15:26:23.337Z Has data issue: false hasContentIssue false

Interactions of chromaticity and luminance in edge identification depend on chromaticity

Published online by Cambridge University Press:  05 April 2005

VIVIANNE C. SMITH
Affiliation:
Visual Science Laboratories, University of Chicago, Chicago
JOEL POKORNY
Affiliation:
Visual Science Laboratories, University of Chicago, Chicago

Abstract

The goal of this work was to study interactions of chromaticity and luminance in edge identification. Two horizontal spatial sawtooth patterns, one with positive and the other with negative harmonics, were compared in a two-alternative forced-choice (2-AFC) procedure. The observer identified which pattern had sharp upper or lower edges. The fundamental frequency was 2 cycles/deg (cpd), with 5 cycles presented in a 2.5-deg square field. The pattern was presented as a 1-s raised temporal cosine, replacing part of an 8-deg background. Stimuli were specified in a cone troland (l, s, Y) chromaticity space, with correction for individual equiluminance at a nominal 115 td, and individual tritan direction. A preliminary set of interleaved staircases established edge identification for the six directions of the (l, s, Y) space. Three compound stimuli combining two orthogonal directions were chosen and included with the end-points in five randomly interleaved staircases. For combinations of Y with l-chromaticity, or l- with s-chromaticity, probability summation was observed. Combinations of Y with s-chromaticity revealed opponency. Data for +s, +Y and −s, −Y were subadditive; data for +s, −Y and −s, +Y were additive. Control studies using detection rather than edge identification revealed probability summation for all combinations. Luminance edges did not enhance stimuli with l-chromaticities. There was an interaction of luminance edges with s-chromaticities. Dim “blues” and bright “yellows” showed linear summation. Bright “blues” and dim “yellows” showed opponency.

Type
Research Article
Copyright
© 2004 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

Chaparro, A., Stromeyer, C.F.R., Kronauer, R.E., & Eskew, R.T.J. (1994). Separable red–green and luminance detectors for small flashes. Vision Research 34, 751762.CrossRefGoogle Scholar
Cole, G.R., Hine, T., & McIlhagga, W. (1993). Detection mechanisms in L-, M- and S-cone contrast space. Journal of the Optical Society of America A 10, 3851.CrossRefGoogle Scholar
Conway, B.R. (2001). Spatial structure of cone inputs to color cells in alert macaque primary visual cortex (v-1). Journal of Neuroscience 21, 27682783.Google Scholar
Friedman, H.S., Zhou, H., & von der Heydt, R. (2003). The coding of uniform colour figures in monkey visual cortex. Journal of Physiology (London) 548, 593613.CrossRefGoogle Scholar
Graham, N.V.S. (1989). Visual Pattern Analyzers. New York: Oxford University Press.CrossRef
Gur, M. & Akri, V. (1992). Isoluminant stimuli may not expose the full contribution of color to visual functioning: spatial contrast sensitivity measurements indicate interaction between color and luminance processing. Vision Research 32, 12531262.CrossRefGoogle Scholar
Gur, M. & Syrkin, G. (1993). Color enhances Mach bands detection threshold and perceived brightness. Vision Research 33, 23132319.CrossRefGoogle Scholar
Hurvich, L.M. & Jameson, D. (1957). An opponent-process theory of color vision. Psychological Review 6, 384404.CrossRefGoogle Scholar
Hurvich, L.M. & Jameson, D. (1958). Further Development of a Quantified Opponent-Color Theory. Visual Problems of Colour II. London: HM Stationary Office.
Ingling, C.R.J. & Drum, B.A. (1973). Retinal receptive fields: Correlations between psychophysics and electrophysiology. Vision Research 13, 11511163.CrossRefGoogle Scholar
Jameson, D. (1972). Theoretical issues of color vision. In Handbook of Sensory Physiology, Visual Psychophysics, VII/4, ed. Jameson, D. & Hurvich, L.M., pp. 381412. Berlin: Springer-Verlag.CrossRef
Judd, D.B. (1951). Colorimetry and artificial daylight, in Technical Committee No. 7 Report of Secretariat United States Commission, International Commission on Illumination, Twelfth Session, Stockholm, pp. 160.
Krauskopf, J. & Gegenfurtner, K. (1992). Color discrimination and adaptation. Vision Research 32, 21652175.CrossRefGoogle Scholar
Landisman, C.E. & Ts'o, D.Y. (2002a). Color processing in macaque striate cortex: Relationships to ocular dominance, cytochrome oxidase, and orientation. Journal of Neurophysiology 87(6), 31263137.Google Scholar
Landisman, C.E. & Ts'o, D.Y. (2002b). Color processing in macaque striate cortex: Electrophysiological properties. Journal of Neurophysiology 87(6), 31383151.Google Scholar
Lee, B.B., Martin, P.R., & Valberg, A. (1988). The physiological basis of heterochromatic flicker photometry demonstrated in the ganglion cells of the macaque retina. Journal of Physiology (London) 404, 323347.CrossRefGoogle Scholar
Lee, B.B., Martin, P.R., Valberg, A., & Kremers, J. (1993). Physiological mechanisms underlying psychophysical sensitivity to combined luminance and chromatic modulation. Journal of the Optical society of America A 10, 14031412.CrossRefGoogle Scholar
Lee, B.B., Kremers, J., & Yeh, T. (1998). Receptive fields of primate retinal ganglion cells studied with a novel technique. Visual Neuroscience 15, 161175.CrossRefGoogle Scholar
Lennie, P., Krauskopf, J., & Sclar, G. (1990). Chromatic mechanisms in striate cortex of macaque. Journal of Neuroscience 10(2), 649669.CrossRefGoogle Scholar
Leonova, A., Pokorny, J., & Smith, V.C. (2003). Spatial frequency processing in inferred PC- and MC-pathways. Vision Research 43, 21332139.CrossRefGoogle Scholar
Mullen, K.T. (1985). The contrast sensitivity of human colour vision to red–green and blue–yellow chromatic gratings. Journal of Physiology (London) 359, 381400.CrossRefGoogle Scholar
Mullen, K.T., Cropper, S.J., & Losada, M.A. (1997). Absence of linear subthreshold summation between red–green and luminance mechanisms over a wide range of spatio-temporal conditions. Vision Research 37, 11571165.CrossRefGoogle Scholar
Mullen, K.T. & Losada, M.A. (1994). Evidence for separate pathways for color and luminance detection mechanisms. Journal of the Optical Society of America A 11, 31363151.CrossRefGoogle Scholar
Mullen, K.T. & Sankeralli, M.J. (1999). Evidence for the stochastic independence of the blue–yellow, red–green and luminance detection mechanisms revealed by subthreshold summation. Vision Research 39, 733745.CrossRefGoogle Scholar
Pokorny, J. & Smith, V.C. (1986). Colorimetry and color discrimination. In Handbook of Perception and Human Performance, Vol I: Sensory Processes and Perception, ed. Thomas, J.P., pp. 8-18-51. New York: John Wiley & Sons.
Quick, R.F. (1974). A vector-magnitude model of contrast detection. Kybernetik 16, 6567.CrossRefGoogle Scholar
Shapley, R. & Hawken, M. (2002). Neural mechanisms for color perception in the primary visual cortex. Current Opinion in Neurobiology 12(4), 426432.CrossRefGoogle Scholar
Smith, V.C. & Pokorny, J. (1996). The design and use of a cone chromaticity space. Color Research and Application 21, 375383.3.0.CO;2-V>CrossRefGoogle Scholar
Smith, V.C., Pokorny, J., & Sun, H. (2000). Chromatic contrast discrimination: Data and prediction for stimuli varying in L and M cone excitation. Color Research and Application 25, 105115.3.0.CO;2-G>CrossRefGoogle Scholar
Smith, V.C. & Pokorny, J. (2003). Psychophysical correlates of parvo- and magnocellular function. In Normal and Defective Colour Vision, ed. Mollon, J., Pokorny, J. & Knoblauch, K., pp. 91107. Oxford, UK: Oxford University Press.CrossRef
Syrkin, G. & Gur, M. (1997). Colour and luminance interact to improve pattern recognition. Perception 26, 127440.CrossRefGoogle Scholar
Wright, W.D. (1946). Researches on Normal and Defective Colour Vision. London, UK: Henry Kimpton.
Zaidi, Q., Shapiro, A., & Hood, D. (1992). The effect of adaptation on the differential sensitivity of the S-cone color system. Vision Research 32, 12971318.CrossRefGoogle Scholar