1. Repositorio Institucional de la Universidad de Guanajuato
  2. Tesis
  3. Tesis de Posgrado
  4. CIS - Campus Irapuato-Salamanca. Tesis de Posgrado
  5. DICIS - División de Ingenierías. Tesis de Posgrado
  6. Doctorado en Ingeniería Eléctrica
Please use this identifier to cite or link to this item: http://repositorio.ugto.mx/handle/20.500.12059/2226
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dc.rights.licensehttp://creativecommons.org/licenses/by-nc-nd/4.0es_MX
dc.contributorRAUL ENRIQUE SANCHEZ YAÑEZes_MX
dc.creatorROCIO ALFONSINA LIZARRAGA MORALESes_MX
dc.date.accessioned2020-08-05T19:18:54Z-
dc.date.available2020-08-05T19:18:54Z-
dc.date.issued2014-02-
dc.identifier.urihttp://repositorio.ugto.mx/handle/20.500.12059/2226-
dc.language.isoengen
dc.rightsinfo:eu-repo/semantics/openAccesses_MX
dc.subject.classificationCIS- Doctorado en Ingeniería Eléctricaes_MX
dc.titleInteligencia Computacional para la Segmentación de Imágenes Naturaleses_MX
dc.title.alternativeComputational Intelligence for the Segmentation of Natural Imagesen
dc.typeinfo:eu-repo/semantics/doctoralThesises_MX
dc.creator.idinfo:eu-repo/dai/mx/cvu/217536es_MX
dc.subject.ctiinfo:eu-repo/classification/cti/1es_MX
dc.subject.ctiinfo:eu-repo/classification/cti/1203es_MX
dc.subject.keywordsComputational intelligenceen
dc.subject.keywordsImage segmentationen
dc.subject.keywordsComputer visionen
dc.subject.keywordsArtificial intelligenceen
dc.subject.keywordsInteligencia computacionales_MX
dc.subject.keywordsSegmentación de Imágeneses_MX
dc.subject.keywordsVisión por computadoraes_MX
dc.subject.keywordsInteligencia Artificiales_MX
dc.contributor.idinfo:eu-repo/dai/mx/cvu/30994es_MX
dc.contributor.roledirectores_MX
dc.type.versioninfo:eu-repo/semantics/publishedVersiones_MX
dc.alternativeIdentifier-
dc.contributor.oneVICTOR AYALA RAMIREZes_MX
dc.contributor.idoneinfo:eu-repo/dai/mx/cvu/25258es_MX
dc.contributor.roleonedirectores_MX
dc.publisher.universityUniversidad de Guanajuatoes_MX
dc.description.abstractEnglishImage segmentation is a central topic in computer vision research with a long tradition as one of the fundamental problems. Its importance is based on its use as a pre-analysis of images in the development of high-level tasks, such as object recognition, tracking, scene understanding, image retrieval, just to mention a few. The performance of these aforementioned high-level tasks largely depends on the accuracy and robustness of the image segmentation method. Segmentation refers to the process of partitioning a digital image into multiple regions. The partition consists in assigning a label to every pixel within an image, in such a way that pixels with the same label are homogeneous in a set of particular features, and in addition, are spatially connected. The main motivation for image segmentation is to provide a compact representation of data, wherein all subsequent processing can be done at a region level, instead of at a pixel level.en
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