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In this paper, a new image retrieval method, which uses the two primary features of image cluster to retrieve image, i.e., the average color value and the number of pixels for each cluster, is proposed. In comparison with popular methods, since this method uses both color feature and structure feature, it is good to solve such a sort of image retrieval questions for two images that they are similar...
A new image retrieval method, which is based on composite of mean shift and assignment model and referred to CMSAM, is proposed. it matches each significant cluster of target image with one of retrieval image one by one and uses assignment model to seek a optimum cluster-pairs set between the two images. Based on the optimum cluster-pairs set, a similarity measure is defined. In comparison with most...
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