Abstract—Automated localization and detection of optic disc
(OD) is essential step in the analysis of digital diabetic
retinopathy systems. Retinal images give unique diagnostic
about eye diseases. The detection of OD helps in early detection
of proliferative diabetic retinopathy. In this paper two
computerized optic disc localization and detection techniques
are compared. First technique is uses edge detection method to
localize the OD and Hough transform method to detect the OD.
Second technique uses brightest region method for OD
localization and LOG filtering method for OD detection. These
techniques can be used to develop automated diagnostic system
for OD localization and detection. We have used publicly
available DRIVE and STARE databases for the testing of the
two techniques. Experimental results showed that Hough
transform technique gives better results.
Index Terms—Diabetic retinopathy, optic disc, hough
transform, LoG filtering, OD detection, retinal image,
brightest region.
Kiran Yaseen and Anam Tariq are with Department of Software
Engineering, Fatima Jinnah Women University, Rawalpindi, Pakistan (email:
nzkiran70@yahoo.com, anam.tariq86@gmail.com).
M. Usman Akram is with Department of Computer Engineering, NUST,
Pakistan (e-mail: usmakram@gmail.com).
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Cite:Kiran Yaseen, Anam Tariq, and M. Usman Akram, "A Comparison and Evaluation of Computerized Methods
for OD Localization and Detection in Retinal Images," International Journal of Future Computer and Communication vol. 2, no. 6, pp. 613-616, 2013.
