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dc.creatorSilva, Jesús
dc.creatorEcheverría, Ana María
dc.creatorVarela Izquierdo, Noel
dc.creatorPineda, Omar
dc.date.accessioned2021-03-03T19:22:43Z
dc.date.available2021-03-03T19:22:43Z
dc.date.issued2020-09-15
dc.identifier.issn17578981
dc.identifier.urihttps://hdl.handle.net/11323/7955
dc.descriptionRetractedspa
dc.description.abstractThe constant technological innovation in devices for the acquisition of digital images such as: energy-efficient and high-pixel sensors, memories with greater storage capacity and processors capable of sampling digital signals more quickly, have made it possible to digitize with greater reliability real life scenes in an instant of time, making it possible to analyze and interpret different physical phenomena [1][2][3] such as fractures in materials, evasion of obstacles, weather conditions, injury detection, among others, giving rise to a new line of research called Artificial Vision (AV) focused on generating algorithms to improve image quality, segment characteristics of interest and eventually recognize patterns, in order to make more efficient image processing for the solution of problems in robotics, automation, security, medicine, veterinary, and others. The research aims to develop a database of thermographic images of pregnant and non-pregnant sheep, providing a tool for specialists in the area of computer intelligence and artificial vision.spa
dc.format.mimetypeapplication/pdfspa
dc.language.isoengspa
dc.publisherCorporación Universidad de la Costaspa
dc.rightsCC0 1.0 Universal*
dc.rights.urihttp://creativecommons.org/publicdomain/zero/1.0/*
dc.sourceIOP Conf. Series: Materials Science and Engineeringspa
dc.subjectVisualization of the heatspa
dc.subjectVentralspa
dc.subjectZone of the animalspa
dc.subjectThermogramspa
dc.titleThermographic imaging for use in artificial intelligence and vision algorithmsspa
dc.typearticlespa
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dc.type.hasVersioninfo:eu-repo/semantics/publishedVersionspa
dc.source.urlhttps://iopscience.iop.org/article/10.1088/1757-899X/872/1/012035/pdfspa
dc.rights.accessrightsinfo:eu-repo/semantics/openAccessspa
dc.identifier.doihttps://doi.org/10.1088/1757-899X/872/1/012035


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