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Improving color correction across camera and illumination changes by contextual sample selection

[+] Author Affiliations
Hazem Wannous

Université de Lille 1, Laboratoire LIFL, Telecom Lille 1,59655 Villeneuve d’Ascq, France

Yves Lucas

Université d’Orleans, Laboratoire PRISME, IUT de Bourges,45067 Polytech Orleans, France

Sylvie Treuillet

Université d’Orleans, Laboratoire PRISME, IUT de Bourges,45067 Polytech Orleans, France

Alamin Mansouri

Université de Bourgogne, Laboratoire Le2i,89000 Auxerre, France

Yvon Voisin

Université de Bourgogne, Laboratoire Le2i,89000 Auxerre, France

J. Electron. Imaging. 21(2), 023015 (Jun 25, 2012). doi:10.1117/1.JEI.21.2.023015
History: Received August 22, 2011; Revised February 29, 2012; Accepted April 2, 2012
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Abstract.  In many tasks of machine vision applications, it is important that recorded colors remain constant, in the real world scene, even under changes of the illuminants and the cameras. Contrary to the human vision system, a machine vision system exhibits inadequate adaptability to the variation of lighting conditions. Automatic white balance control available in commercial cameras is not sufficient to provide reproducible color classification. We address this problem of color constancy on a large image database acquired with varying digital cameras and lighting conditions. A device-independent color representation may be obtained by applying a chromatic adaptation transform, from a calibrated color checker pattern included in the field of view. Instead of using the standard Macbeth color checker, we suggest selecting judicious colors to design a customized pattern from contextual information. A comparative study demonstrates that this approach ensures a stronger constancy of the colors-of-interest before vision control thus enabling a wide variety of applications.

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© 2012 SPIE and IS&T

Citation

Hazem Wannous ; Yves Lucas ; Sylvie Treuillet ; Alamin Mansouri and Yvon Voisin
"Improving color correction across camera and illumination changes by contextual sample selection", J. Electron. Imaging. 21(2), 023015 (Jun 25, 2012). ; http://dx.doi.org/10.1117/1.JEI.21.2.023015


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