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Beleuchtungsverfahren zur problemspezifischen Bildgewinnung für die automatische Sichtprüfung

dc.creatorGruna, Robin
dc.date.accessioned2021-02-17T21:06:09Z
dc.date.available2021-02-17T21:06:09Z
dc.date.created2013
dc.description.abstractIn machine vision, the illumination design has direct impact on the performance of a visual inspection system. In this work, a problem-specific illumination design is presented, which is motivated by optical feature extraction taking place during physical image acquisition. The approach is analyzed on the basis of a physically based camera and illumination model and is experimentally evaluated in different application scenarios.spa
dc.format.extentXXIV, 239 páginasspa
dc.format.mimetypeapplication/pdfspa
dc.identifier.doi10.5445/KSP/1000044824
dc.identifier.isbn9783731503132
dc.identifier.otherhttps://directory.doabooks.org/handle/20.500.12854/41929
dc.identifier.urihttps://hdl.handle.net/20.500.12010/17420
dc.language.isogerspa
dc.publisherKIT Scientific Publishingspa
dc.rights.accessrightsinfo:eu-repo/semantics/openAccessspa
dc.rights.creativecommonshttps://creativecommons.org/licenses/by-sa/4.0/
dc.rights.localAbierto (Texto Completo)spa
dc.subjectOptische Merkmalsextraktionspa
dc.subjectInverse illuminationspa
dc.subjectComputational Illuminationspa
dc.subject.lembDesarrollo de softwarespa
dc.subject.lembArquitectura de softwarespa
dc.subject.lembComputación sensible al contextospa
dc.titleBeleuchtungsverfahren zur problemspezifischen Bildgewinnung für die automatische Sichtprüfungspa
dc.type.coarhttp://purl.org/coar/resource_type/c_2f33spa
dspace.entity.typePublication

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