New similarity measure for color image indexing
Nagul Cooharojananone, Kiyoharu Aizawa · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2001
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 L1 distance measure on RGB and HSV color space. We show that our method produces a better result than cumulative L1 distance measure. Moreover, to increase the accuracy, we introduce the weighting method. Weights are applied to the RGB similarity, DR DG, DB, according to a Hue histogram of the query image. The weighting method increase accuracy and perceptually relevant result.