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Segmentación de imágenes de color empleando el espacio de variación total: Una aplicación de los modelos de Kripke
dc.contributor.author | Guerrero González, Neil | spa |
dc.contributor.author | Prieto Ortiz, Flavio Augusto | spa |
dc.contributor.author | Boulanger, Pierre | spa |
dc.date.accessioned | 2020-10-27T00:20:57Z | |
dc.date.available | 2020-10-27T00:20:57Z | |
dc.date.issued | 2007-12-01 | |
dc.identifier.issn | 2539-2115 | |
dc.identifier.issn | 1657-2831 | |
dc.identifier.uri | http://hdl.handle.net/20.500.12749/8992 | |
dc.description.abstract | Este trabajo propone una metodologia de segmentackm de imagenes de color, basada en una umbralizacion clasica en cada uno de sus componentes ROB en el espacio de escala. La imagen segmentada o conjunto solution, esti conformada por aquellos pixcles solution que se encuentran en cada una de las imigenes escalades que siguen un orden secuencial del espacio, cumpliendo con las caracteristicas del modelo intuicionista planteado por Kripke. Por otro lado, el espacio de escala es una reducci6n sucesiva de caracteristicas de la imagen que permite identificar y conservar las propiedades mias significativas de la misma, y este trabajo lo construye aplicando el filtro de Variation Total. Los resultados muestmn aciertos del 76% sobre el ground truth. | spa |
dc.format.mimetype | application/pdf | spa |
dc.language.iso | spa | spa |
dc.publisher | Universidad Autónoma de Bucaramanga UNAB | |
dc.relation | https://revistas.unab.edu.co/index.php/rcc/article/view/1035/1008 | |
dc.relation.uri | https://revistas.unab.edu.co/index.php/rcc/article/view/1035 | |
dc.rights | Derechos de autor 2007 Revista Colombiana de Computación | |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-sa/4.0/ | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/2.5/co/ | |
dc.source | Revista Colombiana de Computación; Vol. 8 Núm. 2 (2007): Revista Colombiana de Computación; 39-61 | |
dc.subject | Innovaciones tecnológicas | |
dc.subject | Ciencia de los computadores | |
dc.subject | Desarrollo de tecnología | |
dc.subject | Ingeniería de sistemas | |
dc.subject | Investigaciones | |
dc.subject | Tecnologías de la información y las comunicaciones | |
dc.subject | TIC´s | |
dc.title | Segmentación de imágenes de color empleando el espacio de variación total: Una aplicación de los modelos de Kripke | spa |
dc.title.translated | Segmentation of color images using the total variation space: an application of Kripke's models | eng |
dc.type.driver | info:eu-repo/semantics/article | |
dc.type.local | Artículo | spa |
dc.type.coar | http://purl.org/coar/resource_type/c_7a1f | |
dc.subject.keywords | Technological innovations | eng |
dc.subject.keywords | Computer science | eng |
dc.subject.keywords | Technology development | eng |
dc.subject.keywords | Systems engineering | eng |
dc.subject.keywords | Investigations | eng |
dc.subject.keywords | Information and communication technologies | eng |
dc.subject.keywords | ICT's | eng |
dc.subject.keywords | Image segmentation | eng |
dc.subject.keywords | Scale spaces | eng |
dc.subject.keywords | Total variation filter | eng |
dc.subject.keywords | Intuitionistic logic | eng |
dc.identifier.instname | instname:Universidad Autónoma de Bucaramanga UNAB | spa |
dc.type.hasversion | info:eu-repo/semantics/acceptedVersion | |
dc.rights.accessrights | info:eu-repo/semantics/openAccess | spa |
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dc.contributor.googlescholar | Guerrero González, Neil [5IApxMsAAAAJ] | spa |
dc.contributor.googlescholar | Prieto Ortiz, Flavio Augusto [nT6uGaUAAAAJ] | spa |
dc.contributor.googlescholar | Boulanger, Pierre [5_fWop8AAAAJ] | spa |
dc.contributor.orcid | Guerrero González, Neil [0000-0002-8504-3741] | spa |
dc.contributor.researchgate | Guerrero González, Neil [Neil-Guerrero-Gonzalez] | spa |
dc.subject.lemb | Innovaciones tecnológicas | spa |
dc.subject.lemb | Desarrollo tecnológico | spa |
dc.subject.lemb | Ingeniero de sistemas | spa |
dc.subject.lemb | Investigaciones | spa |
dc.subject.lemb | Tecnología de la información y comunicación | spa |
dc.subject.lemb | Ciencias de la computación | spa |
dc.identifier.repourl | repourl:https://repository.unab.edu.co | |
dc.description.abstractenglish | This work proposes a color image segmentation methodology, based on a classical thresholding in each of its ROB components in the scale space. The segmented image or solution set is made up of those solution pixels that are found in each of the scaled images that follow a sequential order of space, complying with the characteristics of the intuitionist model proposed by Kripke. On the other hand, the scale space is a successive reduction of image characteristics that allows identifying and conserving its most significant properties, and this work builds it by applying the Total Variation filter. The results show successes of 76% on the ground truth. | eng |
dc.subject.proposal | Segmentación de Imágenes | spa |
dc.subject.proposal | Espacios de escala | spa |
dc.subject.proposal | Filtro de variación total | spa |
dc.subject.proposal | Lógica intuicionista | spa |
dc.type.redcol | http://purl.org/redcol/resource_type/CJournalArticle | |
dc.rights.creativecommons | Atribución-NoComercial-SinDerivadas 2.5 Colombia | * |