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dc.contributor.authorAlsaleh, Samar M.
dc.contributor.authorAvilés Rivero, Angélica
dc.contributor.authorSobrevilla Frisón, Pilar
dc.contributor.authorCasals Gelpi, Alicia
dc.contributor.authorHahn, James K.
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament d'Enginyeria de Sistemes, Automàtica i Informàtica Industrial
dc.date.accessioned2017-03-03T09:29:53Z
dc.date.issued2016
dc.identifier.citationAlsaleh, S., Avilés, A., Sobrevilla, P., Casals, A., Hahn, J. Adaptive segmentation and mask-specific Sobolev inpainting of specular highlights for endoscopic images. A: Annual International Conference of the IEEE Engineering in Medicine and Biology Society. "2016 38th annual international conference of the IEEE Engineering in Medicine and Biology Society (EMBC)". Orlando, FL: Institute of Electrical and Electronics Engineers (IEEE), 2016, p. 1196-1199.
dc.identifier.isbn978-1-4577-0220-4
dc.identifier.urihttp://hdl.handle.net/2117/101899
dc.description.abstractMinimally invasive surgical and diagnostic systems rely on endoscopic images of internal organs to assist medical tasks. Specular highlights are common on those images due to the strong reflectivity of the mucus layer on the organs and the relatively high intensity of the light source. This is a significant source of error that can affect the systems’ performance. In this paper, we propose a segmentation method of the specular regions based on an automatic color-adaptive threshold and a gradient-based edge detector. The segmented regions are then recovered using a robust mask-specific Sobolev inpainting approach. Experimental results demonstrate the precision and efficiency of the proposed method. In contrast to the existing approaches, the proposed solution does not require manual threshold selection or complex computations to achieve accurate results. Moreover, our method has a real-time performance and can be generalized to various applications.
dc.format.extent4 p.
dc.language.isoeng
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)
dc.subjectÀrees temàtiques de la UPC::Enginyeria biomèdica::Aparells mèdics
dc.subject.lcshEndoscopes
dc.subject.lcshImaging systems in medicine
dc.subject.otherMedical image segmentation
dc.subject.otherSurgical robotics
dc.titleAdaptive segmentation and mask-specific Sobolev inpainting of specular highlights for endoscopic images
dc.typeConference lecture
dc.subject.lemacEndoscopis
dc.subject.lemacImatges mèdiques
dc.contributor.groupUniversitat Politècnica de Catalunya. GRINS - Grup de Recerca en Robòtica Intel·ligent i Sistemes
dc.identifier.doi10.1109/EMBC.2016.7590919
dc.description.peerreviewedPeer Reviewed
dc.relation.publisherversionhttp://ieeexplore.ieee.org/document/7590919/
dc.rights.accessRestricted access - publisher's policy
drac.iddocument19740380
dc.description.versionPostprint (published version)
dc.date.lift10000-01-01
upcommons.citation.authorAlsaleh, S., Avilés, A., Sobrevilla, P., Casals, A., Hahn, J.
upcommons.citation.contributorAnnual International Conference of the IEEE Engineering in Medicine and Biology Society
upcommons.citation.pubplaceOrlando, FL
upcommons.citation.publishedtrue
upcommons.citation.publicationName2016 38th annual international conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
upcommons.citation.startingPage1196
upcommons.citation.endingPage1199


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