Scale Analysis of Several Filter Banks for Color Texture Classification
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Scholar |
Otros documentos de la autoría: Rajadell Rojas, Olga; García-Sevilla, Pedro; Pla, Filiberto
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Mostrar el registro completo del ítemcomunitat-uji-handle:10234/9
comunitat-uji-handle2:10234/7038
comunitat-uji-handle3:10234/54899
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http://dx.doi.org/10.1007/978-3-642-10520-3_48 |
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Título
Scale Analysis of Several Filter Banks for Color Texture ClassificationFecha de publicación
2009Editor
Springer Berlin HeidelbergISBN
978-3-642-10520-3Cita bibliográfica
RAJADELL, O., et al. Scale Analysis of Several Filter Banks for Color Texture Classification. En: Advances in Visual Computing: 5th International Symposium, ISVC 2009, Las Vegas, NV, USA, November 30-December 2, 2009. Proceedings, Part II, p. 509-518. Springer Berlin Heidelberg, 2009. (Lecture Notes in Computer Science; 5876) ISBN 978-3-642-10520-3Tipo de documento
info:eu-repo/semantics/bookPartVersión de la editorial
http://link.springer.com/chapter/10.1007/978-3-642-10520-3_48Palabras clave / Materias
Resumen
We present a study of the contribution of the different scales used by several feature extraction methods based on filter banks for color texture classification. Filter banks used for textural characterization purposes ... [+]
We present a study of the contribution of the different scales used by several feature extraction methods based on filter banks for color texture classification. Filter banks used for textural characterization purposes are usually designed using different scales and orientations in order to cover all the frequential domain. In this paper, two feature extraction methods are taken into account: Gabor filters over complex planes and color opponent features. Both techniques consider simultaneously the spatial and inter-channel interactions in order to improve the characterization based on individual channel analysis. The experimental results obtained show that Gabor filters over complex planes provide similar results to the ones obtained using color opponent features but using a reduced number of features. On the other hand, the scale analysis shows that some scales could be ignored in the feature extraction process without distorting the characterization obtained. [-]
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