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Traditional methods to compute color similarity based on color histogram own some disadvantages. For example, if the two images look very similar in color, their color similarity may be zero or very small because the intersection of their histograms may be null or the distance between their histograms may be very large. In this paper, we first propose a new definition of color similarity between two color images, then derive the formula of color similarity based on color histogram, which gets rid of the shortcomings of the traditional methods, at last present experimental results, which show that our method can provide satisfactory retrieval results.
Xue et al. (Wed,) studied this question.