Abstract
This paper proposes a comparison of color features for image retrieval. In particular the UCID image database has been employed to compare the retrieval capabilities of different color descriptors. The set of descriptors comprises global and spatially related features, and the tests show that HSV based global features provide the best performance at varying brightness and contrast settings.
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Borghesani, D., Grana, C., Cucchiara, R. (2009). Color Features Performance Comparison for Image Retrieval. In: Foggia, P., Sansone, C., Vento, M. (eds) Image Analysis and Processing – ICIAP 2009. ICIAP 2009. Lecture Notes in Computer Science, vol 5716. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-04146-4_96
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DOI: https://doi.org/10.1007/978-3-642-04146-4_96
Publisher Name: Springer, Berlin, Heidelberg
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