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A fully-automated retinal blood vessels detection using filling algorithm

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dc.contributor.authorMustafa N.B.A.en_US
dc.contributor.authorZaki W.M.D.W.en_US
dc.contributor.authorHussain A.en_US
dc.contributor.authorHamzah J.C.en_US
dc.contributor.authorid57191952020en_US
dc.contributor.authorid8507300300en_US
dc.contributor.authorid57208481391en_US
dc.contributor.authorid36702655100en_US
dc.date.accessioned2023-05-29T06:40:05Z
dc.date.available2023-05-29T06:40:05Z
dc.date.issued2017
dc.description.abstractThis paper proposes a fully-automated retinal blood vessels detection method using image preprocessing, multi-scale line detector and post-processing approaches. In this method, a filling algorithm applied on the green channel has solved the vessel problem with central reflex. Moreover, the sum of multi-directional top-hat transformation has successfully enhanced all vessels including thin and tortuous vessels, as well as reduced the optic disk effect in retinal images. The proposed method has shown to be comparable to previous work. In addition, experimental work conducted using HRF images has also shown promising results with average 79.01% (sensitivity), 94.64%(specificity) and 93.30%(accuracy). � 2017 International Information Institute.en_US
dc.description.natureFinalen_US
dc.identifier.epage673
dc.identifier.issue1
dc.identifier.scopus2-s2.0-85033386345
dc.identifier.spage665
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85033386345&partnerID=40&md5=47eaef1b6dc2621756bc72f6a2f07279
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/23393
dc.identifier.volume20
dc.publisherInternational Information Institute Ltd.en_US
dc.sourceScopus
dc.sourcetitleInformation (Japan)
dc.titleA fully-automated retinal blood vessels detection using filling algorithmen_US
dc.typeArticleen_US
dspace.entity.typePublication
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