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Journal of the Optical Society of America A

Journal of the Optical Society of America A


  • Vol. 21, Iss. 3 — Mar. 1, 2004
  • pp: 321–334

Color constancy through inverse-intensity chromaticity space

Robby T. Tan, Ko Nishino, and Katsushi Ikeuchi  »View Author Affiliations

JOSA A, Vol. 21, Issue 3, pp. 321-334 (2004)

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Existing color constancy methods cannot handle both uniformly colored surfaces and highly textured surfaces in a single integrated framework. Statistics-based methods require many surface colors and become error prone when there are only a few surface colors. In contrast, dichromatic-based methods can successfully handle uniformly colored surfaces but cannot be applied to highly textured surfaces, since they require precise color segmentation. We present a single integrated method to estimate illumination chromaticity from single-colored and multicolored surfaces. Unlike existing dichromatic-based methods, the proposed method requires only rough highlight regions without segmenting the colors inside them. We show that, by analyzing highlights, a direct correlation between illumination chromaticity and image chromaticity can be obtained. This correlation is clearly described in “inverse-intensity chromaticity space,” a novel two-dimensional space that we introduce. In addition, when Hough transform and histogram analysis is utilized in this space, illumination chromaticity can be estimated robustly, even for a highly textured surface.

© 2004 Optical Society of America

OCIS Codes
(150.0150) Machine vision : Machine vision
(150.2950) Machine vision : Illumination

Original Manuscript: April 21, 2003
Revised Manuscript: September 15, 2003
Manuscript Accepted: November 4, 2003
Published: March 1, 2004

Robby T. Tan, Ko Nishino, and Katsushi Ikeuchi, "Color constancy through inverse-intensity chromaticity space," J. Opt. Soc. Am. A 21, 321-334 (2004)

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