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<p><b>Abstract</b>—A number of different approaches have been recently presented for image retrieval using color features. Most of these methods use the color histogram or some variation of it. If the extracted information is to be stored for each image, such methods may require a significant amount of space for storing the histogram, depending on a given image's size and content. In the method proposed in this paper, only a small number of features, called <it>chromaticity moments</it>, are required to capture the spectral content (chrominance) of an image. The proposed method is based on the concept of the chromaticity diagram and extracts a set of two-dimensional moments from it to characterize the shape and distribution of chromaticities of the given image. This representation is compact (only a few chromaticity moments per image are required) and constant (independent of image size and content), while its retrieval effectiveness is comparable to using the full chromaticity histogram.</p>
Image retrieval, color processing, histogram, chromaticity, color spaces.
George Paschos, Nagarajan Prabakar, Ivan Radev, "Image Content-Based Retrieval Using Chromaticity Moments", IEEE Transactions on Knowledge & Data Engineering, vol. 15, no. , pp. 1069-1072, September/October 2003, doi:10.1109/TKDE.2003.1232264
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