
Proceedings Paper
Intensity and color descriptors for texture classificationFormat | Member Price | Non-Member Price |
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Paper Abstract
In this paper we present a descriptor for texture classification based on the histogram of a local measure of the color contrast. The descriptor has been concatenated to several other color and intensity texture descriptors in the state of the art and has been experimented on three datasets. Results show, in nearly every case, a performance improvement with respect to results achieved by baseline methods thus demonstrating the effectiveness of the proposed texture features. The descriptor has also demonstrated to be robust with respect to global changes in lighting conditions.
Paper Details
Date Published: 6 March 2013
PDF: 11 pages
Proc. SPIE 8661, Image Processing: Machine Vision Applications VI, 866113 (6 March 2013); doi: 10.1117/12.2006070
Published in SPIE Proceedings Vol. 8661:
Image Processing: Machine Vision Applications VI
Philip R. Bingham; Edmund Y. Lam, Editor(s)
PDF: 11 pages
Proc. SPIE 8661, Image Processing: Machine Vision Applications VI, 866113 (6 March 2013); doi: 10.1117/12.2006070
Show Author Affiliations
Claudio Cusano, Univ. degli Studi di Pavia (Italy)
Paolo Napoletano, Univ. degli Studi di Milano-Bicocca (Italy)
Paolo Napoletano, Univ. degli Studi di Milano-Bicocca (Italy)
Raimondo Schettini, Univ. degli Studi di Milano-Bicocca (Italy)
Published in SPIE Proceedings Vol. 8661:
Image Processing: Machine Vision Applications VI
Philip R. Bingham; Edmund Y. Lam, Editor(s)
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