ROI and Blood Vessel Segmentation Based on Gradient Vector Algorithm in RGB Retinal Fundus Images
Yazarlar (2)
Doç. Dr. Muhammed Kamil TURAN
Karabük Üniversitesi, Türkiye
Doç. Dr. Eftal ŞEHİRLİ
Karabük Üniversitesi, Türkiye
| Makale Türü | Özgün Makale |
| Makale Alt Türü | Diğer hakemli uluslarası dergilerde yayınlanan tam makale |
| Dergi Adı | International Journal of Research Studies in Science, Engineering and Technology |
| Dergi ISSN | 2349-4751 |
| Dergi Tarandığı Indeksler | Google Scholar, CiteSeerX, Directory of Research Journal Indexing (DRJI), ResearchBib, Electronic Journals Library, Journal Index.net, Scientific Indexing Service, International Society of Universal Research in Sciences (EyeSource), ZBMED |
| Makale Dili | İngilizce |
| Basım Tarihi | 02-2016 |
| Cilt No | 3 |
| Sayı | 2 |
| Sayfalar | 1 / 5 |
| Makale Linki | http://www.ijrsset.org/pdfs/v3-i2/1.pdf |
| Özet |
| Abstract: In this paper, a method is proposed for segmentation of ROI and blood vessels on pathological and non-pathological RGB retinal fundus images. In the proposed method, a preprocessing stage to make image enhancement is applied. Gradient vector algorithm is applied based on gradient vectors of pixels. Connected component analysis is applied... |
| Anahtar Kelimeler |
