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dc.contributor.authorRukundo, Olivier
dc.contributor.authorPedersen, Marius
dc.contributor.authorHovde, Øistein
dc.date.accessioned2017-12-01T10:20:01Z
dc.date.available2017-12-01T10:20:01Z
dc.date.created2017-11-01T08:12:07Z
dc.date.issued2017
dc.identifier.citationComputational & Mathematical Methods in Medicine. 2017, 9813165nb_NO
dc.identifier.issn1748-670X
dc.identifier.urihttp://hdl.handle.net/11250/2468725
dc.description.abstractThis paper proposes an advanced method for contrast enhancement of capsule endoscopic images, with the main objective to obtain sufficient information about the vessels and structures in more distant (or darker) parts of capsule endoscopic images. The proposed method (PM) combines two algorithms for the enhancement of darker and brighter areas of capsule endoscopic images, respectively. The half-unit weighted-bilinear algorithm (HWB) proposed in our previous work is used to enhance darker areas according to the darker map content of its HSV’s component . Enhancement of brighter areas is achieved thanks to the novel threshold weighted-bilinear algorithm (TWB) developed to avoid overexposure and enlargement of specular highlight spots while preserving the hue, in such areas. The TWB performs enhancement operations following a gradual increment of the brightness of the brighter map content of its HSV’s component . In other words, the TWB decreases its averaged weights as the intensity content of the component increases. Extensive experimental demonstrations were conducted, and, based on evaluation of the reference and PM enhanced images, a gastroenterologist (Ø.H.) concluded that the PM enhanced images were the best ones based on the information about the vessels, contrast in the images, and the view or visibility of the structures in more distant parts of the capsule endoscopy images.nb_NO
dc.language.isoengnb_NO
dc.publisherHindawinb_NO
dc.relation.urihttps://www.hindawi.com/journals/cmmm/2017/9813165/
dc.rightsNavngivelse 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/deed.no*
dc.titleAdvanced Image Enhancement Method for Distant Vessels and Structures in Capsule Endoscopynb_NO
dc.typeJournal articlenb_NO
dc.typePeer reviewednb_NO
dc.description.versionpublishedVersionnb_NO
dc.source.pagenumber13nb_NO
dc.source.journalComputational & Mathematical Methods in Medicinenb_NO
dc.identifier.doi10.1155/2017/9813165
dc.identifier.cristin1509584
dc.description.localcodeCopyright © 2017 Olivier Rukundo et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.nb_NO
cristin.unitcode194,63,10,0
cristin.unitnameInstitutt for datateknologi og informatikk
cristin.ispublishedtrue
cristin.fulltextpostprint
cristin.qualitycode1


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Navngivelse 4.0 Internasjonal
Except where otherwise noted, this item's license is described as Navngivelse 4.0 Internasjonal