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Volume: 4 | Article ID: art00076
Compact color descriptor for object recognition across illumination changes
  DOI :  10.2352/CGIV.2008.4.1.art00076  Published OnlineJanuary 2008

In this paper, we propose a compact color invariant image descriptor which characterizes both the color distribution and the spatial interactions between the pixels in the image. Our approach is based on the analysis of the pixel rank measures which are their ranks when they are sorted according to their color component levels within a color image. Indeed, we show in this paper that the correlation between the rank measures of neighbor pixels in a color image is an efficient feature to describe the content of this image. This descriptor, extracted from the chromatic co-occurrences matrices, has the advantages to be invariant to illumination changes, low-time consuming, highly discriminating and compact. The proposed rank correlation coefficient is 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, Alain Trémeau, "Compact color descriptor for object recognition across illumination changesin Proc. IS&T CGIV 2008/MCS'08 4th European Conf. on Colour in Graphics, Imaging, and Vision 10th Int'l Symp. on Multispectral Colour Science,  2008,  pp 352 - 356,

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Conference on Colour in Graphics, Imaging, and Vision
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