IMAGE DATABASES

Retinex preprocessing of uncalibrated images for color-based image retrieval

[+] Author Affiliations
Gianluigi Ciocca

Tecnologie Informatiche Multimediali, ITC, Consiglio Nazionale delle Ricerche, Milano, ItalyE-mail: ciocca@itim.mi.cnr.it

Daniele Marini

Universita` di Milano, Dip. Scienze dell’Informazione, ItalyE-mail: daniele.marini@unimi.it

Alessandro Rizzi

Universita` di Milano, Dip. Tecnologia dell’Informazione, ItalyE-mail: rizzi@dti.unimi.it

Raimondo Schettini

DISCO, Universita’ degli Studi di Milano Bicocca, ItalyE-mail: schettini@disco.unimib.it

Silvia Zuffi

Tecnologie Informatiche Multimediali, ITC, Consiglio Nazionale delle Ricerche, Milano, Italy

Istituto di Biostrutture e Bioimmagini, Consiglio Nazionale delle Ricerche, Napoli, ItalyE-mail: zuffi@itim.mi.cnr.it

J. Electron. Imaging. 12(1), 161-172 (Jan 01, 2003). doi:10.1117/1.1526844
History: Received Mar. 27, 2001; Revised Apr. 4, 2002; Revised Jun. 24, 2002; Accepted June 28, 2002; Online January 29, 2003
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In image databases, variations in imaging conditions and preprocessing may result in similar originals that exhibit a low measure of similarity when color information is used in standard image retrieval methods. We examine the performance of various color-based retrieval strategies to see whether, and to what degree, the effectiveness of retrieval improves with Retinex-based preprocessing, regardless of the strategy adopted. The results of experiments performed on four different databases are reported and discussed. © 2003 SPIE and IS&T.

© 2003 SPIE and IS&T

Citation

Gianluigi Ciocca ; Daniele Marini ; Alessandro Rizzi ; Raimondo Schettini and Silvia Zuffi
"Retinex preprocessing of uncalibrated images for color-based image retrieval", J. Electron. Imaging. 12(1), 161-172 (Jan 01, 2003). ; http://dx.doi.org/10.1117/1.1526844


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