Diabetes can be recognized by features of retina. Automatic retina feature extraction improves the speed of diabetes
diagnosis. The first step in extracting the features is to localize the optic disk. Methods with low accuracy in localizing
the optic disk include area with maximum lightness or the largest area containing pixels with maximum gray levels. A
more accurate method is to find the physical position of blood vessel that passes through optic disk. This paper presents a
fast and accurate algorithm for localizing the optic disk. The process of localization consists of finding the target area,
Optic Disk center and Optic Disk boundaries. Optic Disk boundaries are recognized by our algorithm with %90
accuracy.
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