A new indexing method of HDR images using color histograms

17 March 2017 A new indexing method of HDR images using color histograms

Raoua Khwildi, Meha Hachani, Azza Ouled Zaid

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Proceedings Volume 10341, Ninth International Conference on Machine Vision (ICMV 2016); 1034122 (2017) https://doi.org/10.1117/12.2268445
Event: Ninth International Conference on Machine Vision, 2016, Nice, France

Abstract

Various methods for color histogram based indexing of Low Dynamic Range Images, have been developed. All these methods are considered to be effective, but none of the algorithms has been extended to High Dynamic Range (HDR) Images. In this paper, we present a new method for HDR image indexing using histogram intersection in the hue-saturation-value (HSV) color space. For a given HDR image, the proposed approach considers a global descriptor computed according to the quantization of the HSV color space. This descriptor it is highly discriminative and fast to compute. The strength of our approach is proven through experimental results using a database which contains 205 images that are classified into 12 categories. Preliminary results showed that the developed algorithm performs well for HDR image retrieval.

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Raoua Khwildi, Meha Hachani, and Azza Ouled Zaid "A new indexing method of HDR images using color histograms", Proc. SPIE 10341, Ninth International Conference on Machine Vision (ICMV 2016), 1034122 (17 March 2017); https://doi.org/10.1117/12.2268445

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