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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Cetiner, H. Cetisli, B. |
| Copyright Year | 2015 |
| Description | Author affiliation: Bilgisayar Muhendisligi Bolumu, Suleyman Demirel Univ., Isparta, Turkey (Cetisli, B.) || Arastirma ve Uygulama Has. Bilgi Islem Merkezi, Suleyman Demirel Univ., Isparta, Turkey (Cetiner, H.) |
| Abstract | In this study, we present a method to automatically detect the position of the optic disc (OD) in digital retinal fundus images. After some pre-processing steps in this method, to obtain the candidate regions of OD have been studied. The obtained OD candidate regions are distinguish by analyzes performed based on feature. The proposed method was evaluated using DRIVE dataset which is containing a total of 40 images from both normal and diseased retinal images. Consequently, the OD-center was detected correctly in all of the 40 images (100%). |
| Starting Page | 208 |
| Ending Page | 211 |
| File Size | 833007 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781467373869 |
| DOI | 10.1109/SIU.2015.7129795 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2015-05-16 |
| Publisher Place | Turkey |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Optical filters Integrated optics DRIVE database Biomedical optical imaging entropy variance Retina Optical imaging optic disc Diabetes diabetic retinopathy Optical signal processing |
| Content Type | Text |
| Resource Type | Article |
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