A new similarity measure for color image indexing

In this paper, we propose a new similarity measure for color images, that is angular distance of cumulative histogram. The measure is compared to previous popular measure that is cumulative L-1 distance measure on RGB and HSV color space. We show that our method produces a better result than cumulative L-1 distance measure. Moreover, to increase the accuracy, we introduce the weighting method. Weights are applied to the RGB similarity, DR, DG, D-B according to a Hue histogram of the query image. The weighting method increase accuracy and perceptually relevant result.