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Color Histograms Adapted to Query-Target Images for Object Recognition across Illumination Changes
EURASIP Journal on Advances in Signal Processing volume 2005, Article number: 639763 (2005)
Most object recognition schemes fail in case of illumination changes between the color image acquisitions. One of the most widely used solutions to cope with this problem is to compare the images by means of the intersection between invariant color histograms. The main originality of our approach is to cope with the problem of illumination changes by analyzing each pair of query and target images constructed during the retrieval, instead of considering each image of the database independently from each other. In this paper, we propose a new approach which determines color histograms adapted to each pair of images. These adapted color histograms are obtained so that their intersection is higher when the two images are similar than when they are different. The adapted color histograms processing is based on an original model of illumination changes based on rank measures of the pixels within the color component images.
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Open Access This article is distributed under the terms of the Creative Commons Attribution 2.0 International License ( https://creativecommons.org/licenses/by/2.0 ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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Muselet, D., Macaire, L. & Postaire, JG. Color Histograms Adapted to Query-Target Images for Object Recognition across Illumination Changes. EURASIP J. Adv. Signal Process. 2005, 639763 (2005). https://doi.org/10.1155/ASP.2005.2164
Keywords and phrases
- object recognition
- adapted color histograms
- rank measures