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Evaluation of the effects of Gabor filter parameters on texture classification

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Show simple item record Bianconi, Francesco Fernández Álvarez, Antonio 2018-04-25T07:08:18Z 2018-04-25T07:08:18Z 2007-12
dc.identifier.citation Pattern Recognition, 40(12): 3325-3335 (2007) spa
dc.identifier.issn 00313203
dc.description.abstract Gabor filtering is a widely adopted technique for texture analysis. The design of a Gabor filter bank is a complex task. In texture classification, in particular, Gabor filters show a strong dependence on a certain number of parameters, the values of which may significantly affect the outcome of the classification procedures. Many different approaches to Gabor filter design, based on mathematical and physiological consideration, are documented in literature. However, the effect of each parameter, as well as the effects of their interaction, remain unclear. The overall aim of this work is to investigate the effects of Gabor filter parameters on texture classification. An extensive experimental campaign has been conducted. The outcomes of the experimental activity show a significant dependence of the percentage of correct classification on the smoothing parameter of the Gabor filters. On the contrary, the correlation between the number of frequencies and orientations used to define a filter bank and the percentage of correct classification appeared to be poor. spa
dc.description.sponsorship Consiglio Nazionale delle Ricerche (Italy) | Ref. 1402 spa
dc.description.sponsorship Xunta de Galicia | Ref. PGIDIT04REM303003PR spa
dc.language.iso eng spa
dc.publisher Pattern Recognition spa
dc.title Evaluation of the effects of Gabor filter parameters on texture classification spa
dc.type article spa
dc.rights.accessRights openAccess spa
dc.identifier.doi 10.1016/j.patcog.2007.04.023
dc.identifier.editor spa
dc.publisher.departamento Deseño na enxeñaría spa
dc.publisher.grupoinvestigacion Xeotecnoloxías Aplicadas spa
dc.subject.unesco 2209.90 Tratamiento Digital Imágenes spa 2018-04-19T16:15:19Z

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