Deep Learning Technique for Image Classification by Segmentation

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dc.contributor.advisorBecerra-López, Fernando I.
dc.contributor.authorJayakumar, Abinaya
dc.date.accessioned2021-08-26T20:32:26Z
dc.date.available2021-08-26T20:32:26Z
dc.date.issued2021-05
dc.descriptionSince images are defined over two dimensions (perhaps more) digital image processing may be modeled in the form of multidimensional systems. Digital image processing allows the use of much more complex algorithms, and hence, can offer both more sophisticated performance at simple tasks, and the implementation of methods that would be impossible by analogue means. In particular, digital image processing is a concrete application of, and a practical technology based on classification, localization, feature extraction and segmentation. The main objective is to understand the following challenges and identify a solution.es_MX
dc.identifier.citationJayakumar, A. (2021). Deep Learning Technique for Image Classification by Segmentation. Trabajo de obtención de grado, Maestría en Ciencia de Datos. Tlaquepaque, Jalisco: ITESO.es_MX
dc.identifier.urihttps://hdl.handle.net/11117/7496
dc.language.isoenges_MX
dc.publisherITESOes_MX
dc.rights.urihttp://quijote.biblio.iteso.mx/licencias/CC-BY-NC-2.5-MX.pdfes_MX
dc.subjectDeep Learninges_MX
dc.subjectImage Classificationes_MX
dc.subjectImage Segmentationes_MX
dc.titleDeep Learning Technique for Image Classification by Segmentationes_MX
dc.typeinfo:eu-repo/semantics/masterThesises_MX
dc.type.versioninfo:eu-repo/semantics/acceptedVersiones_MX

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