Paper
6 March 2013 Intensity and color descriptors for texture classification
Author Affiliations +
Proceedings Volume 8661, Image Processing: Machine Vision Applications VI; 866113 (2013) https://doi.org/10.1117/12.2006070
Event: IS&T/SPIE Electronic Imaging, 2013, Burlingame, California, United States
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.
© (2013) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Claudio Cusano, Paolo Napoletano, and Raimondo Schettini "Intensity and color descriptors for texture classification", Proc. SPIE 8661, Image Processing: Machine Vision Applications VI, 866113 (6 March 2013); https://doi.org/10.1117/12.2006070
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Cited by 10 scholarly publications.
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KEYWORDS
RGB color model

Feature extraction

Matrices

Image classification

Colorimetry

Continuous wavelet transforms

Volume rendering

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