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Volume: 3 | Article ID: art00053
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Gamut Intersection for Image Retrieval
  DOI :  10.2352/CGIV.2006.3.1.art00053  Published OnlineJanuary 2006
Abstract

Colour histograms are the most dominate technique for image indexing based on image colour content. The colour histogram approach approximates a threedimensional colour distribution of an image to a threedimensional colour histogram. This paper describes image retrieval experiments using a novel Gamut Intersection approach. Gamut Intersection is an attempt of approximating an images' three-dimensional colour distribution by projecting it onto two orthogonal projection planes defined in the rgb-cube. This results in two 0 1 binary two-dimensional images which we use as our image descriptors. The method retains the advantages of colour histograms such as a simple computation, robustness to image rotation, image scaling and distribution of objects in the image. When comparing our method with a 16×16×16 histogram approach, we found that our new approach performs favorably, or equally well, to histograms for all the, 25, test images.

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Andrei Ouglov, Ali Alsam, Rune Hjelsvold, "Gamut Intersection for Image Retrievalin Proc. IS&T CGIV 2006 3rd European Conf. on Colour in Graphics, Imaging, and Vision,  2006,  pp 266 - 270,  https://doi.org/10.2352/CGIV.2006.3.1.art00053

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Copyright © Society for Imaging Science and Technology 2006
72010351
Conference on Colour in Graphics, Imaging, and Vision
conf colour graph imag vis
2158-6330
Society of Imaging Science and Technology
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