Retinal fundus images of optical disk detection

dc.contributor.advisorKurnaz, Sefer
dc.contributor.authorElwiya, Lina
dc.date.accessioned2022-07-05T12:57:04Z
dc.date.available2022-07-05T12:57:04Z
dc.date.issued2021en_US
dc.date.submitted2021
dc.departmentEnstitüler, Lisansüstü Eğitim Enstitüsü, Elektrik ve Bilgisayar Mühendisliği Ana Bilim Dalıen_US
dc.description.abstractThe automated segmentation and examination of the retinal pictures requires optical disc(OD) identification. A new technique for border detection of OD from retinal images of the color fundus is proposed in this paper. In combination with the difference Gaussian (DOG) filter, morphological operators and contrast enhancements techniques are used to achieve the OD limits. With a comparable time, we achieve a high success rate with our proposed algorithm. Six datasets available to the public in 1660 images; STARE, DRIVE, ARIA, DIARETDB1, DIARETDB0 and MESSIDOR sets of data. have been evaluated for the performance of our proposed method. Experimental evidence shows a 100% DRI VERY, ARIA, DIARETDB1 and DIARETDB0 image success rate; better than the most advanced methods for ARIA, DIARETDB1, and DIARETDB0 datasets with accuracy below 99%. With the average processing time of 1,2 seconds, the algorithm achieves 98.8% and 99.83% respectively in the STARE and MESSIDOR datasets.en_US
dc.identifier.citationElwiya, Lina. (2021). Retinal fundus images of optical disk detection. (Yayınlanmamış yüksek lisans tezi). Altınbaş Üniversitesi, Lisansüstü Eğitim Enstitüsü, İstanbul.en_US
dc.identifier.urihttps://hdl.handle.net/20.500.12939/2632
dc.identifier.yoktezid675196
dc.institutionauthorElwiya, Lina
dc.language.isoen
dc.publisherAltınbaş Üniversitesi / Lisansüstü Eğitim Enstitüsüen_US
dc.relation.publicationcategoryTezen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectOptic Disc Detectionen_US
dc.subjectOptic Disc Segmentationen_US
dc.subjectRetinal Images Analysisen_US
dc.subjectDifference Of Gaussian Filteren_US
dc.titleRetinal fundus images of optical disk detection
dc.typeMaster Thesis

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