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dc.contributor.authorBlanco, Edward
dc.contributor.authorMazo Quintas, Manuel Ramón 
dc.contributor.authorBergasa Pascual, Luis Miguel 
dc.contributor.authorPalazuelos Cagigas, Sira Elena 
dc.contributor.authorRodríguez Ascariz, José Manuel 
dc.contributor.authorLosada Gutiérrez, Cristina 
dc.contributor.authorMartín Sánchez, José Luis 
dc.date.accessioned2020-07-03T12:03:02Z
dc.date.available2020-07-03T12:03:02Z
dc.date.issued2010-08-20
dc.identifier.bibliographicCitationBlanco, E., Mazo, M., Bergasa, L., Palazuelos, S., Rodríguez, J., Losada, C. & Martín, J. 2010, “Class separation improvements in pixel classification using colour injection”, Sensors, vol. 10, no. 8, pp. 7803-7842
dc.identifier.issn1424-8220
dc.identifier.urihttp://hdl.handle.net/10017/43549
dc.description.abstractThis paper presents an improvement in the colour image segmentation in the Hue Saturation (HS) sub-space. The authors propose to inject (add) a colour vector in the Red Green Blue (RGB) space to increase the class separation in the HS plane. The goal of the work is the development of an algorithm to obtain the optimal colour vector for injection that maximizes the separation between the classes in the HS plane. The chromatic Chrominace-1 Chrominance-2 sub-space (of the Luminance Chrominace-1 Chrominance-2 (YC1C2) space) is used to obtain the optimal vector to add. The proposal is applied on each frame of a colour image sequence in real-time. It has been tested in applications with reduced contrast between the colours of the background and the object, and particularly when the size of the object is very small in comparison with the size of the captured scene. Numerous tests have confirmed that this proposal improves the segmentation process, considerably reducing the effects of the variation of the light intensity of the scene. Several tests have been made in skin segmentation in applications for sign language recognition via computer vision, where an accurate segmentation of hands and face is required.en
dc.description.sponsorshipMinisterio de Ciencia e Innovaciónes_ES
dc.format.mimetypeapplication/pdfen
dc.language.isoengen
dc.publisherMDPI
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectPixel classificationen
dc.subjectColour clusteringen
dc.subjectColour segmentationen
dc.subjectClass separationen
dc.subjectColour sub-spacesen
dc.subjectColour injectionen
dc.titleClass separation improvements in pixel classification using colour injectionen
dc.typeinfo:eu-repo/semantics/articleen
dc.subject.ecienciaElectrónicaes_ES
dc.subject.ecienciaElectronicsen
dc.contributor.affiliationUniversidad de Alcalá. Departamento de Electrónicaes_ES
dc.relation.publisherversionhttps://doi.org/10.3390/s100807803
dc.type.versioninfo:eu-repo/semantics/publishedVersionen
dc.identifier.doi10.3390/s100807803
dc.relation.projectIDTIN2009-08984 (Ministerio de Ciencia e Innovación)es_ES
dc.relation.projectIDTIN2008-06856-C05-05 (Ministerio de Ciencia e Innovación)es_ES
dc.rights.accessRightsinfo:eu-repo/semantics/openAccessen
dc.identifier.publicationtitleSensors
dc.identifier.publicationvolume10
dc.identifier.publicationlastpage7842
dc.identifier.publicationissue8
dc.identifier.publicationfirstpage7803


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