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By Murat Birinci, Serkan Kiranyaz and Moncef Gabbouj


Most of the content-based image retrieval (CBIR) systems frequently utilize color as a discriminative feature among images, due to its robustness to noise, image degradations, and changes in resolution and orientation. While there are vast amount of color descriptors for describing global properties of colors such as “what ” and “how much ” color present in an image, less research has succeeded in describing the spatial properties among colors such as “where ” and “how”. Color Correlogram is one of the most promising spatial color descriptors at the current state of art. However, it has several limitations, which make it infeasible even for ordinary image databases. In this paper we present a perceptual approach that eliminates such restrictions from Correlogram and further increases its discrimination power. Experimental results demonstrate Correlogram’s handicaps and the success of the proposed approach in terms of retrieval accuracy and feasibility. 1

Topics: frameworks, database primitives are mapped into some
Year: 2011
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