A new and effective method for human retina optic disc segmentation with fuzzy clustering method based on active contour model

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dc.contributor.authorAbdullah, Ahmad S.
dc.contributor.authorRahebi, Javad
dc.contributor.authorÖzok, Yasa Ekşioğlu
dc.contributor.authorAljanabi, Mohanad
dc.date.accessioned2021-05-15T11:34:10Z
dc.date.available2021-05-15T11:34:10Z
dc.date.issued2020
dc.departmentMeslek Yüksekokuluen_US
dc.descriptionABDULLAH, AHMED SULAIMAN/0000-0002-8578-1760
dc.description.abstractIn this paper, a new approach is proposed for localization and segmentation of the optic disc in human retina images. This new approach can find the boundary of the optic disc by an initial fuzzy clustering means algorithm. The proposed approach uses active contour model evolution based on a fuzzy clustering algorithm. The robustness of the proposed approach was evaluated with retinal imaging medical databases, such as DRIVE, STARE, DIARETDB1, and DRIONS. These bases contained images affected by different abnormalities, for example, diabetes, retinitis pigmentosa, and age-related macular degeneration AMD. A success detection rate with 100% accuracy was achieved for the DRIVE, DIRATEDB1, and DRIONS-DB databases, and 97.53% for the STARE database. For the optic disc segmentation, the method achieved an average accuracy and overlap in the range of 97.01-99.46% and 78.35-84.56% in these four databases. The result was compared with various methods in the literature, and it was concluded that the proposed method is more accurate than the other existing methods.en_US
dc.identifier.doi10.1007/s11517-019-02032-8
dc.identifier.endpage37en_US
dc.identifier.issn0140-0118
dc.identifier.issn1741-0444
dc.identifier.issue1en_US
dc.identifier.pmid31444623
dc.identifier.scopus2-s2.0-85071342379
dc.identifier.scopusqualityQ2
dc.identifier.startpage25en_US
dc.identifier.urihttps://doi.org/10.1007/s11517-019-02032-8
dc.identifier.urihttps://hdl.handle.net/20.500.12939/287
dc.identifier.volume58en_US
dc.identifier.wosWOS:000499979800002
dc.identifier.wosqualityQ2
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.indekslendigikaynakPubMed
dc.institutionauthorAbdullah, Ahmad S.
dc.institutionauthorAljanabi, Mohanad
dc.institutionauthorAbdullah, Ahmad S.
dc.language.isoen
dc.publisherSpringer Heidelbergen_US
dc.relation.ispartofMedical & Biological Engineering & Computing
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectRetinal Image Analysisen_US
dc.subjectOptic Discen_US
dc.subjectFuzzy Clusteringen_US
dc.subjectActive Contouren_US
dc.subjectOptic Disc Segmentationen_US
dc.titleA new and effective method for human retina optic disc segmentation with fuzzy clustering method based on active contour model
dc.typeArticle

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