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N-way modeling for wavelet filter determination in Multivariate Image Analysis

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N-way modeling for wavelet filter determination in Multivariate Image Analysis

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dc.contributor.author Prats-Montalbán, José Manuel es_ES
dc.contributor.author Cocchi, Marina es_ES
dc.contributor.author Ferrer Riquelme, Alberto José es_ES
dc.date.accessioned 2016-05-26T11:53:41Z
dc.date.available 2016-05-26T11:53:41Z
dc.date.issued 2015-06
dc.identifier.issn 0886-9383
dc.identifier.uri http://hdl.handle.net/10251/64793
dc.description Additional information may be found in the online version of this article at the publisher’s web site es_ES
dc.description.abstract [EN] When trying to analyze spatial relationships in image analysis, wavelets appear as one of the state-of-the-art tools. However, image analysis is a problem-dependent issue, and different applications might require different wavelets in order to gather the main sources of variation in the acquired images with respect to the specific task to be performed. This paper provides a methodology based on N-way modeling for properly selecting the best wavelet choice to use or at least to provide a range of possible wavelet choices (in terms of families, filters, and decomposition levels), for each image and problem at hand. The methodology has been applied on two different data sets with exploratory and monitoring objectives. Copyright © 2015 John Wiley & Sons, Ltd. es_ES
dc.description.sponsorship This research work was partially supported by the Spanish Ministry of Economy and Competitiveness under the project DPI2011-28112-C04-02. en_EN
dc.language Inglés es_ES
dc.publisher Wiley es_ES
dc.relation.ispartof Journal of Chemometrics es_ES
dc.rights Reserva de todos los derechos es_ES
dc.subject Wavelets es_ES
dc.subject Tucker3 es_ES
dc.subject Multivariate Image Analysis es_ES
dc.subject.classification ESTADISTICA E INVESTIGACION OPERATIVA es_ES
dc.title N-way modeling for wavelet filter determination in Multivariate Image Analysis es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.1002/cem.2717
dc.relation.projectID info:eu-repo/grantAgreement/MICINN//DPI2011-28112-C04-02/ES/MONITORIZACION, INFERENCIA, OPTIMIZACION Y CONTROL MULTI-ESCALA: DE CELULAS A BIORREACTORES. (MULTISCALES)/ es_ES
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Estadística e Investigación Operativa Aplicadas y Calidad - Departament d'Estadística i Investigació Operativa Aplicades i Qualitat es_ES
dc.description.bibliographicCitation Prats-Montalbán, JM.; Cocchi, M.; Ferrer Riquelme, AJ. (2015). N-way modeling for wavelet filter determination in Multivariate Image Analysis. Journal of Chemometrics. 29:379-388. https://doi.org/10.1002/cem.2717 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion https://dx.doi.org/10.1002/cem.2717 es_ES
dc.description.upvformatpinicio 379 es_ES
dc.description.upvformatpfin 388 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 29 es_ES
dc.relation.senia 284742 es_ES
dc.identifier.eissn 1099-128X
dc.contributor.funder Ministerio de Ciencia e Innovación es_ES
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