International Journal of Control, Automation and Systems 2012; 10(5): 963-971
Published online September 30, 2012
https://doi.org/10.1007/s12555-012-0513-3
© The International Journal of Control, Automation, and Systems
In this paper, we introduce and propose a new color representation scheme, the HCI color model, and its usage. The HCI color model consists of three channels; hue, chroma, and intensity. Using the dichromatic reflection model, it is proved that hue is robust against illumination effects. Since this new color model is not expanded to a cylindrical form, not only the problem of saturation dependence on the brightness can be avoided, but also the fully saturated achromatic color problem cannot occur. However, there is some risk to specify the coordinates which lie outside the color gamut. In order to prevent this risk, some boundary conditions are defined. Finally, the mixture color model is introduced to enhance the accuracy of color expression. To prove the usefulness and the validity of the HCI color model, several experiments and analysis of the results are presented and demonstrated.
Keywords Color model, color representation, computer vision, hue-chroma-intensity (HCI), image segmentation, robustness under illumination changes.
International Journal of Control, Automation and Systems 2012; 10(5): 963-971
Published online October 1, 2012 https://doi.org/10.1007/s12555-012-0513-3
Copyright © The International Journal of Control, Automation, and Systems.
Hoon Kang, Seung Hwan Lee, and Jayong Lee
Chung-Ang University
In this paper, we introduce and propose a new color representation scheme, the HCI color model, and its usage. The HCI color model consists of three channels; hue, chroma, and intensity. Using the dichromatic reflection model, it is proved that hue is robust against illumination effects. Since this new color model is not expanded to a cylindrical form, not only the problem of saturation dependence on the brightness can be avoided, but also the fully saturated achromatic color problem cannot occur. However, there is some risk to specify the coordinates which lie outside the color gamut. In order to prevent this risk, some boundary conditions are defined. Finally, the mixture color model is introduced to enhance the accuracy of color expression. To prove the usefulness and the validity of the HCI color model, several experiments and analysis of the results are presented and demonstrated.
Keywords: Color model, color representation, computer vision, hue-chroma-intensity (HCI), image segmentation, robustness under illumination changes.
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