Paper
25 April 2008 Determining locus and periphery of optic disk in retinal images
Author Affiliations +
Abstract
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.
© (2008) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Mohammad Norouzi Fard, Alireza Salehi, and Jamshid Shanbeh Zadeh "Determining locus and periphery of optic disk in retinal images", Proc. SPIE 7000, Optical and Digital Image Processing, 70001Z (25 April 2008); https://doi.org/10.1117/12.781484
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KEYWORDS
Optical discs

Detection and tracking algorithms

Blood vessels

Principal component analysis

Retina

Diagnostics

Feature extraction

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