X-Ray Testing by Computer Vision

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dc.contributor.authorMery Quiroz, Domingo Arturo
dc.date.accessioned2022-05-16T20:30:49Z
dc.date.available2022-05-16T20:30:49Z
dc.date.issued2013
dc.description.abstractX-ray imaging has been developed not only for its use in medical imaging for human beings, but also for materials or objects, where the aim is to analyze (nondestructively) those inner parts that are undetectable to the naked eye. Thus, X-ray testing is used to determine if a test object deviates from a given set of specifications. Typical applications are analysis of food products, screening of baggage, inspection of automotive parts, and quality control of welds. In order to achieve efficient and effective X-ray testing, automated and semi-automated systems are being developed to execute this task. In this paper, we present a general overview of computer vision methodologies that have been used in X-ray testing. In addition, we review some techniques that have been applied in certain relevant applications, and we introduce a public database of X-ray images that can be used for testing and evaluation of image analysis and computer vision algorithms. Finally, we conclude that the following: that there are some areas -like casting inspection- where automated systems are very effective, and other application areas -such as baggage screening- where human inspection is still used, there are certain application areas -like weld and cargo inspections- where the process is semi-automatic, and there is some research in areas -including food analysis- where processes are beginning to be characterized by the use of X-ray imaging.
dc.fuente.origenIEEE
dc.identifier.doi10.1109/CVPRW.2013.61
dc.identifier.eisbn9780769549903
dc.identifier.eissn2160-7516
dc.identifier.issn2160-7508
dc.identifier.urihttps://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=6595900
dc.identifier.urihttps://doi.org/10.1109/CVPRW.2013.61
dc.identifier.urihttps://repositorio.uc.cl/handle/11534/63996
dc.information.autorucEscuela de ingeniería ; Mery Quiroz, Domingo Arturo ; S/I ; 102382
dc.language.isoen
dc.nota.accesoContenido parcial
dc.pagina.final367
dc.pagina.inicio360
dc.publisherIEEE
dc.relation.ispartofIEEE Conference on Computer Vision and Pattern Recognition Workshops (2013 : Portland, Estados Unidos)
dc.rightsacceso restringido
dc.subjectX-ray imaging
dc.subjectTesting
dc.subjectThree-dimensional displays
dc.subjectInspection
dc.subjectMaterials
dc.subjectComputer vision
dc.subjectWelding
dc.titleX-Ray Testing by Computer Visiones_ES
dc.typecomunicación de congreso
sipa.codpersvinculados102382
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