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Identificador persistente para citar o vincular este elemento: http://hdl.handle.net/10553/47659
Campo DC Valoridioma
dc.contributor.authorCandela, S.en_US
dc.contributor.authorGarcia, C.en_US
dc.contributor.authorMuñoz, J.en_US
dc.contributor.authorAlayon, F.en_US
dc.date.accessioned2018-11-23T15:21:05Z-
dc.date.available2018-11-23T15:21:05Z-
dc.date.issued1993en_US
dc.identifier.isbn978-3-540-57234-3en_US
dc.identifier.issn0302-9743en_US
dc.identifier.urihttp://hdl.handle.net/10553/47659-
dc.description.abstractWe present in this work an image process technique that we call facilitatory effect. This technique is a multiplicative mechanism which improves the response of a previous process. It is based on a statistical process computing averages and variances This technique is an invariant process to noise and to illumination changes. It is also concluded that this technique is a type of generalized high pass filter since image areas with high grey variations are contrasted. We present results of this technique for a practical case of defects detection in leather.en_US
dc.languageengen_US
dc.relation.ispartofLecture Notes in Computer Scienceen_US
dc.sourceMařík V., Lažanský J., Wagner R.R. (eds) Database and Expert Systems Applications. DEXA 1993. Lecture Notes in Computer Science, vol 720. Springer, Berlin, Heidelbergen_US
dc.subject120304 Inteligencia artificialen_US
dc.subject3327 Tecnología de los sistemas de transporteen_US
dc.titleFacilitatory process for contrast detectionen_US
dc.typeinfo:eu-repo/semantics/conferenceObjectes
dc.typeConferenceObjectes
dc.relation.conference4th International Conference on Database and Expert Systems Applications, DEXA 1993
dc.identifier.doi10.1007/3-540-57234-1_64en_US
dc.identifier.scopus84949015036-
dc.contributor.authorscopusid36934476600-
dc.contributor.authorscopusid7401486323-
dc.contributor.authorscopusid56988504100-
dc.contributor.authorscopusid6506717943-
dc.description.lastpage630-
dc.description.firstpage627-
dc.relation.volume720-
dc.investigacionIngeniería y Arquitecturaen_US
dc.type2Actas de congresosen_US
dc.identifier.eisbn978-3-540-47982-6-
dc.utils.revisionSíen_US
dc.date.coverdateEnero 1993
dc.identifier.conferenceidevents121557
dc.identifier.ulpgcSíes
dc.description.ggs3
item.grantfulltextnone-
item.fulltextSin texto completo-
crisitem.event.eventsstartdate06-09-1993-
crisitem.event.eventsenddate08-09-1993-
crisitem.author.deptGIR IUCES: Computación inteligente, percepción y big data-
crisitem.author.deptIU de Cibernética, Empresa y Sociedad (IUCES)-
crisitem.author.deptDepartamento de Informática y Sistemas-
crisitem.author.deptGIR IUCES: Computación inteligente, percepción y big data-
crisitem.author.deptIU de Cibernética, Empresa y Sociedad (IUCES)-
crisitem.author.deptDepartamento de Informática y Sistemas-
crisitem.author.deptGIR IUCES: Computación inteligente, percepción y big data-
crisitem.author.deptIU de Cibernética, Empresa y Sociedad (IUCES)-
crisitem.author.orcid0000-0003-1433-3730-
crisitem.author.orcid0009-0008-9619-7341-
crisitem.author.orcid0000-0002-7285-9194-
crisitem.author.parentorgIU de Cibernética, Empresa y Sociedad (IUCES)-
crisitem.author.parentorgIU de Cibernética, Empresa y Sociedad (IUCES)-
crisitem.author.parentorgIU de Cibernética, Empresa y Sociedad (IUCES)-
crisitem.author.fullNameGarcía Rodríguez, Carmelo Rubén-
crisitem.author.fullNameMuñoz Blanco, José Antonio-
crisitem.author.fullNameAlayón Hernández,Francisco Javier-
Colección:Actas de congresos
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