Optical disc detection based on intensity and feature in the retinal images

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%).

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