The paper presents a comparison between hand-crafted and learned descriptors for color texture classification. The comparison is performed on five color texture databases that include images under varying imaging conditions: scales, camera orientations, light orientations, light color temperatures, etc. Results demonstrate that learned descriptors, on average, significantly outperform hand-crafted descriptors. However, results obtained on the individual databases show that in the case of Outex 14, that includes training and test images taken under varying illuminant conditions, hand-crafted descriptors perform better than learned descriptors.
Napoletano, P. (2017). Hand-crafted vs learned descriptors for color texture classification. In Computational Color Imaging. 6th International Workshop, CCIW 2017, Milan, Italy, March 29-31, 2017, Proceedings (pp.259-271). Springer Verlag [10.1007/978-3-319-56010-6_22].
Citazione: | Napoletano, P. (2017). Hand-crafted vs learned descriptors for color texture classification. In Computational Color Imaging. 6th International Workshop, CCIW 2017, Milan, Italy, March 29-31, 2017, Proceedings (pp.259-271). Springer Verlag [10.1007/978-3-319-56010-6_22]. | |
Tipo: | paper | |
Carattere della pubblicazione: | Scientifica | |
Presenza di un coautore afferente ad Istituzioni straniere: | No | |
Titolo: | Hand-crafted vs learned descriptors for color texture classification | |
Autori: | Napoletano, P | |
Autori: | NAPOLETANO, PAOLO (Corresponding) | |
Data di pubblicazione: | 2017 | |
Lingua: | English | |
Nome del convegno: | 6th International Workshop on Computational Color Imaging, CCIW 2017 | |
ISBN: | 9783319560090 | |
Serie: | LECTURE NOTES IN COMPUTER SCIENCE | |
Digital Object Identifier (DOI): | http://dx.doi.org/10.1007/978-3-319-56010-6_22 | |
Appare nelle tipologie: | 02 - Intervento a convegno |