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Proceedings Paper

New similarity measure for color image indexing
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Paper Abstract

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.

Paper Details

Date Published: 1 January 2001
PDF: 8 pages
Proc. SPIE 4315, Storage and Retrieval for Media Databases 2001, (1 January 2001); doi: 10.1117/12.410928
Show Author Affiliations
Nagul Cooharojananone, Univ. of Tokyo (Japan)
Kiyoharu Aizawa, Univ. of Tokyo (Japan)


Published in SPIE Proceedings Vol. 4315:
Storage and Retrieval for Media Databases 2001
Minerva M. Yeung; Chung-Sheng Li; Rainer W. Lienhart, Editor(s)

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