The description of color texture under varying lighting conditions is still an open issue. We defined a new color texture descriptor, that we called Local Angular Patterns, specially designed to be robust to changes in the color of the illuminant. The results show that our descriptor outperforms the state-of-the-art on a dataset of food textures.

Cusano, C., Napoletano, P., Schettini, R. (2015). Local angular patterns for color texture classification. In New Trends in Image Analysis and Processing -- ICIAP 2015 Workshops (pp.111-118). Springer Verlag [10.1007/978-3-319-23222-5_14].

Local angular patterns for color texture classification

CUSANO, CLAUDIO
Primo
;
NAPOLETANO, PAOLO
Secondo
;
SCHETTINI, RAIMONDO
2015

Abstract

The description of color texture under varying lighting conditions is still an open issue. We defined a new color texture descriptor, that we called Local Angular Patterns, specially designed to be robust to changes in the color of the illuminant. The results show that our descriptor outperforms the state-of-the-art on a dataset of food textures.
paper
Computer Science (all); Theoretical Computer Science
English
18th International Conference on Image Analysis and Processing, ICIAP 2015 BioFor, CTMR, RHEUMA, ISCA, MADiMa, SBMI, and QoEM
2015
New Trends in Image Analysis and Processing -- ICIAP 2015 Workshops
9783319232218
2015
9281
111
118
http://springerlink.com/content/0302-9743/copyright/2005/
none
Cusano, C., Napoletano, P., Schettini, R. (2015). Local angular patterns for color texture classification. In New Trends in Image Analysis and Processing -- ICIAP 2015 Workshops (pp.111-118). Springer Verlag [10.1007/978-3-319-23222-5_14].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10281/107314
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