Autofocus method for automated microscopy using embedded GPUs

Please use this identifier to cite or link to this item: http://hdl.handle.net/10045/66767
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dc.contributorInformática Industrial y Redes de Computadoreses_ES
dc.contributorUniCAD: Grupo de Investigación en CAD/CAM/CAE de la Universidad de Alicantees_ES
dc.contributor.authorCastillo-Secilla, José María-
dc.contributor.authorSaval-Calvo, Marcelo-
dc.contributor.authorMedina-Valdés, Luis-
dc.contributor.authorCuenca-Asensi, Sergio-
dc.contributor.authorMartínez-Álvarez, Antonio-
dc.contributor.authorSánchez, Carlos-
dc.contributor.authorCristóbal, Gabriel-
dc.contributor.otherUniversidad de Alicante. Departamento de Tecnología Informática y Computaciónes_ES
dc.contributor.otherUniversidad de Alicante. Instituto Universitario de Investigación Informáticaes_ES
dc.date.accessioned2017-06-08T07:11:03Z-
dc.date.available2017-06-08T07:11:03Z-
dc.date.issued2017-03-01-
dc.identifier.citationBiomedical Optics Express. 2017, 8(3): 1731-1740. doi:10.1364/BOE.8.001731es_ES
dc.identifier.issn2156-7085-
dc.identifier.urihttp://hdl.handle.net/10045/66767-
dc.description.abstractIn this paper we present a method for autofocusing images of sputum smears taken from a microscope which combines the finding of the optimal focus distance with an algorithm for extending the depth of field (EDoF). Our multifocus fusion method produces an unique image where all the relevant objects of the analyzed scene are well focused, independently to their distance to the sensor. This process is computationally expensive which makes unfeasible its automation using traditional embedded processors. For this purpose a low-cost optimized implementation is proposed using limited resources embedded GPU integrated on cutting-edge NVIDIA system on chip. The extensive tests performed on different sputum smear image sets show the real-time capabilities of our implementation maintaining the quality of the output image.es_ES
dc.description.sponsorshipThis work has been partly supported by the Spanish grant CTM2014-51907.es_ES
dc.languageenges_ES
dc.publisherOptical Society of Americaes_ES
dc.rights© 2017 Optical Society of Americaes_ES
dc.subjectImage processinges_ES
dc.subjectMicroscopyes_ES
dc.subjectVision, color, and visual opticses_ES
dc.subject.otherArquitectura y Tecnología de Computadoreses_ES
dc.titleAutofocus method for automated microscopy using embedded GPUses_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.peerreviewedsies_ES
dc.identifier.doi10.1364/BOE.8.001731-
dc.relation.publisherversionhttp://dx.doi.org/10.1364/BOE.8.001731es_ES
dc.rights.accessRightsinfo:eu-repo/semantics/restrictedAccesses_ES
dc.relation.projectIDinfo:eu-repo/grantAgreement/MINECO//CTM2014-51907-C2-1-R-
Appears in Collections:INV - I2RC - Artículos de Revistas
INV - UNICAD - Artículos de Revistas

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