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Proceedings Paper

Color image segmentation and color constancy
Author(s): Ruzena K. Bajcsy; Sang Wook Lee; Ales Leonardis
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Paper Abstract

We present an approach to the construction of computational model for color image segmentation based on the physical properties of sensors, illumination lights and surface reflectances. We use the dichromatic model for dielectric materials and develop a metric space of intensity, hue and saturation in order to better interpret light- surface interactions. While the spectral distribution of surface reflectance is not changed by shading and shadows, it is affected by highlights, as well as inter-reflections. Using the established model, we perform color image segmentation based on the material change with detection of small inter-reflections between different objects and highlights. Since usual illuminations are spectrally colored, discounting illuminations from a perceived color image (color constancy) is necessary for obtaining correct surface reflectances. However applications of many color constancy algorithms are limited by severe spectral and spatial assumptions. Our approach is to use a reference plate or specularity to achieve color constancy for global illumination. The detected inter-reflections represent the local variation of illumination due to reflected light from other objects.

Paper Details

Date Published: 1 August 1990
PDF: 11 pages
Proc. SPIE 1250, Perceiving, Measuring, and Using Color, (1 August 1990); doi: 10.1117/12.19716
Show Author Affiliations
Ruzena K. Bajcsy, Univ. of Pennsylvania (United States)
Sang Wook Lee, Univ. of Pennsylvania (United States)
Ales Leonardis, Univ. of Pennsylvania (United States)

Published in SPIE Proceedings Vol. 1250:
Perceiving, Measuring, and Using Color
Michael H. Brill, Editor(s)

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