Rotation-invariant and scale-invariant steerable pyramid decomposition for texture image retrieval

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dc.contributor.authorMontoya Zegarra, Javier
dc.contributor.authorLeite, Neucimar
dc.contributor.authorda Silva Torres, Ricardo
dc.date.accessioned2019-01-29T22:19:56Z
dc.date.available2019-01-29T22:19:56Z
dc.date.issued2007
dc.description.abstractThis paper proposes a new rotation-invariant and scale-invariant representation for texture image retrieval based on Steerable Pyramid Decomposition. By calculating the mean and standard deviation of decomposed image subbands, the texture feature vectors are extracted. To obtain rotation or scale invariance, the feature elements are aligned by considering either the dominant orientation or dominant scale of the input textures. Experiments were conducted on the Brodatz database aiming to compare our approach to the conventional Steerable Pyramid Decomposition, and a recent proposal for texture characterization based on Gabor Wavelets with regard to their retrieval effectiveness. Results demonstrate the superiority of the proposed method in rotated and scaled image datasets. © 2007 IEEE.es_PE
dc.description.uriTrabajo académicoes_PE
dc.identifier.doihttps://doi.org/10.1109/SIBGRAPI.2007.42es_PE
dc.identifier.isbnurn:isbn:9780769529967es_PE
dc.identifier.urihttps://hdl.handle.net/20.500.12590/15911
dc.language.isoenges_PE
dc.publisherScopuses_PE
dc.relation.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-45749110880&doi=10.1109%2fSIBGRAPI.2007.42&partnerID=40&md5=fc805590ef98d1b702b0d40019d201b4es_PE
dc.rightsinfo:eu-repo/semantics/restrictedAccesses_PE
dc.sourceRepositorio Institucional - UCSPes_PE
dc.sourceUniversidad Católica San Pabloes_PE
dc.sourceScopuses_PE
dc.subjectComputational geometryes_PE
dc.subjectComputer graphicses_PE
dc.subjectDatabase systemses_PE
dc.subjectDigital image storagees_PE
dc.subjectImage codinges_PE
dc.subjectImage retrievales_PE
dc.subjectImaging systemses_PE
dc.subjectInformation retrievales_PE
dc.subjectRotation; Textureses_PE
dc.subjectBrodatzes_PE
dc.subjectDominant orientationses_PE
dc.subjectFeature elementses_PE
dc.subjectImage data setses_PE
dc.subjectImage subbandses_PE
dc.subjectInvariant representationses_PE
dc.subjectRetrieval effectivenesseses_PE
dc.subjectScale invarianceses_PE
dc.subjectStandard deviationses_PE
dc.subjectSteerable pyramidses_PE
dc.subjectTexture characterizationses_PE
dc.subject.ocdehttps://purl.org/pe-repo/ocde/ford#1.02.00es_PE
dc.titleRotation-invariant and scale-invariant steerable pyramid decomposition for texture image retrievales_PE
dc.typeinfo:eu-repo/semantics/conferenceObject
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