K. Konstantinidis

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Content-based image retrieval (CBIR) is a collection of techniques for retrieving images on the basis of features, such as color, texture and shape. An efficient tool, which is widely used in CBIR, is that of color image histograms. The classic method of color histogram creation results in very large histograms with large variations between neighboring(More)
In this paper we present a new method for content-based image retrieval (CBIR), based on the retinal signal processing of the human visual system (HVS). A center-surround operator similar to the receptive fields of the ganglion cells of the retina is employed to create a new form of color histogram, the center-surround histogram (CSH). Unlike other proposed(More)
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