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.
Andrei Ouglov, Ali Alsam, Rune Hjelsvold, "Gamut Intersection for Image Retrieval" in 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