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, CLAUDIOPrimo
;NAPOLETANO, PAOLOSecondo
;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.
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