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dc.contributor.author | Silvestre-Blanes, Javier | es_ES |
dc.contributor.author | Albero Albero, Teresa | es_ES |
dc.contributor.author | Miralles, Ignacio | es_ES |
dc.contributor.author | Pérez-Llorens, Ruben | es_ES |
dc.contributor.author | Moreno, Jorge | es_ES |
dc.date.accessioned | 2020-11-11T04:32:34Z | |
dc.date.available | 2020-11-11T04:32:34Z | |
dc.date.issued | 2019-12 | es_ES |
dc.identifier.issn | 1470-9589 | es_ES |
dc.identifier.uri | http://hdl.handle.net/10251/154810 | |
dc.description.abstract | [EN] The use of image processing for the detection and classification of defects has been a reality for some time in science and industry. New methods are continually being presented to improve every aspect of this process. However, these new approaches are applied to a small, private collection of images, which makes a real comparative study of these methods very difficult. The objective of this paper was to compile a public annotated benchmark, that is, an extensive set of images with and without defects, and make these public, to enable the direct comparison of detection and classification methods. Moreover, different methods are reviewed and one of these is applied to the set of images; the results of which are also presented in this paper. | es_ES |
dc.description.sponsorship | The authors thank for the financial support provided by IVACE (Institut Valencia de Competitivitat Empresarial, Spain) and FEDER (Fondo Europeo de Desarrollo Regional, Europe), throughout the projects: AUTOVIMOTION and INTELITEX. | es_ES |
dc.language | Inglés | es_ES |
dc.publisher | Association of Universities for Textiles | es_ES |
dc.relation.ispartof | AUTEX Research Journal | es_ES |
dc.rights | Reconocimiento - No comercial - Sin obra derivada (by-nc-nd) | es_ES |
dc.subject | Fabric inspection | es_ES |
dc.subject | Defect classification | es_ES |
dc.subject | Machine vision system | es_ES |
dc.subject.classification | ARQUITECTURA Y TECNOLOGIA DE COMPUTADORES | es_ES |
dc.title | A Public Fabric Database for Defect Detection Methods and Results | es_ES |
dc.type | Artículo | es_ES |
dc.identifier.doi | 10.2478/aut-2019-0035 | es_ES |
dc.rights.accessRights | Abierto | es_ES |
dc.contributor.affiliation | Universitat Politècnica de València. Departamento de Informática de Sistemas y Computadores - Departament d'Informàtica de Sistemes i Computadors | es_ES |
dc.description.bibliographicCitation | Silvestre-Blanes, J.; Albero Albero, T.; Miralles, I.; Pérez-Llorens, R.; Moreno, J. (2019). A Public Fabric Database for Defect Detection Methods and Results. AUTEX Research Journal. 19(4):363-374. https://doi.org/10.2478/aut-2019-0035 | es_ES |
dc.description.accrualMethod | S | es_ES |
dc.relation.publisherversion | https://doi.org/10.2478/aut-2019-0035 | es_ES |
dc.description.upvformatpinicio | 363 | es_ES |
dc.description.upvformatpfin | 374 | es_ES |
dc.type.version | info:eu-repo/semantics/publishedVersion | es_ES |
dc.description.volume | 19 | es_ES |
dc.description.issue | 4 | es_ES |
dc.relation.pasarela | S\398799 | es_ES |
dc.contributor.funder | European Regional Development Fund | es_ES |
dc.contributor.funder | Institut Valencià de Competitivitat Empresarial | es_ES |