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Volume: 3 | Article ID: art00044
Histogram of fuzzy ranks for object recognition across illumination changes
  DOI :  10.2352/CGIV.2006.3.1.art00044  Published OnlineJanuary 2006

In this paper, we propose an original color image analysis scheme to retrieve among all the target images of a database, those which contain the same object as that represented by the query image, these images being acquired under different illumination conditions. Rather than considering the color vectors of the pixels to characterize the images, we propose to exploit the concept of ranks of CCD sensor responses which are assumed to be preserved in case of illumination changes. Since these ranks are not directly available from a color image, we propose to estimate their probabilities of occurrence thanks to fuzzy functions. These probabilities are used by our object recognition scheme whose effectiveness is assessed with a public database that contains images of objects acquired under different illuminations.

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Damien Muselet, Ludovic Macaire, "Histogram of fuzzy ranks for object recognition across illumination changesin Proc. IS&T CGIV 2006 3rd European Conf. on Colour in Graphics, Imaging, and Vision,  2006,  pp 220 - 225,

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Conference on Colour in Graphics, Imaging, and Vision
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