2009 | OriginalPaper | Buchkapitel
Color Features Performance Comparison for Image Retrieval
verfasst von : Daniele Borghesani, Costantino Grana, Rita Cucchiara
Erschienen in: Image Analysis and Processing – ICIAP 2009
Verlag: Springer Berlin Heidelberg
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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.