Abstract
Color constancy and chromatic edge detection are fundamental problems in artificial vision. In this paper we present a way to provide a visualization of color constancy that works well even in dark scenes where such humans and computer vision algorithms have hard problems due to the noise. The method is an hybrid and non linear transform of the RGB image based on the assignment of the chromatic angle as the luminosity value in the HSV space. This chromatic angle is defined on the basis of the dichromatic reflection model, having thus a physical model supporting it.
This work been supported by Ministerio de Ciencia e Innovación of Spain TIN2009-05736-E/TIN.
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Moreno, R., López-Guede, J.M., d’Anjou, A. (2010). Hybrid Color Space Transformation to Visualize Color Constancy. In: Corchado, E., Graña Romay, M., Manhaes Savio, A. (eds) Hybrid Artificial Intelligence Systems. HAIS 2010. Lecture Notes in Computer Science(), vol 6077. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-13803-4_30
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DOI: https://doi.org/10.1007/978-3-642-13803-4_30
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