Paper
1 January 2001 New similarity measure for color image indexing
Author Affiliations +
Proceedings Volume 4315, Storage and Retrieval for Media Databases 2001; (2001) https://doi.org/10.1117/12.410928
Event: Photonics West 2001 - Electronic Imaging, 2001, San Jose, CA, United States
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.
© (2001) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Nagul Cooharojananone and Kiyoharu Aizawa "New similarity measure for color image indexing", Proc. SPIE 4315, Storage and Retrieval for Media Databases 2001, (1 January 2001); https://doi.org/10.1117/12.410928
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KEYWORDS
Distance measurement

RGB color model

Image retrieval

Databases

Light sources and illumination

Visualization

Content based image retrieval

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