Retinal fundus images of optical disk detection
[ X ]
Tarih
2021
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Altınbaş Üniversitesi / Lisansüstü Eğitim Enstitüsü
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
The 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.
Açıklama
Anahtar Kelimeler
Optic Disc Detection, Optic Disc Segmentation, Retinal Images Analysis, Difference Of Gaussian Filter
Kaynak
WoS Q Değeri
Scopus Q Değeri
Cilt
Sayı
Künye
Elwiya, Lina. (2021). Retinal fundus images of optical disk detection. (Yayınlanmamış yüksek lisans tezi). Altınbaş Üniversitesi, Lisansüstü Eğitim Enstitüsü, İstanbul.
