Color image segmentation and color constancy

Ruzena K. Bajcsy; Sang Wook Lee; Ales Leonardis

doi:10.1117/12.19716

1 August 1990 Color image segmentation and color constancy

Ruzena K. Bajcsy, Sang Wook Lee, Ales Leonardis

Proceedings Volume 1250, Perceiving, Measuring, and Using Color; (1990) https://doi.org/10.1117/12.19716
Event: Electronic Imaging: Advanced Devices and Systems, 1990, Santa Clara, CA, United States

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.

Citation Download Citation

Ruzena K. Bajcsy, Sang Wook Lee, and Ales Leonardis "Color image segmentation and color constancy", Proc. SPIE 1250, Perceiving, Measuring, and Using Color, (1 August 1990); https://doi.org/10.1117/12.19716

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