Kurnaz, SeferElwiya, Lina2022-07-052022-07-0520212021Elwiya, Lina. (2021). Retinal fundus images of optical disk detection. (Yayınlanmamış yüksek lisans tezi). Altınbaş Üniversitesi, Lisansüstü Eğitim Enstitüsü, İstanbul.https://hdl.handle.net/20.500.12939/2632The 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.eninfo:eu-repo/semantics/closedAccessOptic Disc DetectionOptic Disc SegmentationRetinal Images AnalysisDifference Of Gaussian FilterMaster Thesis675196