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Automated Detection of Optic Disc Location in Retinal Images

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3 Author(s)
Lupascu, C.A. ; Dipt. di Mat. e Applicazioni, Univ. degli Studi di Palermo, Palermo ; Tegolo, D. ; Di Rosa, L.

This contribution presents an automated method to locate the optic disc in color fundus images. The method uses texture descriptors and a regression based method in order to determine the best circle that fits the optic disc. The best circle is chosen from a set of circles determined with an innovative method, not using the Hough transform as past approaches. An evaluation of the proposed method has been done using a database of 40 images. On this data set, our method achieved 95% success rate for the localization of the optic disc and 70% success rate for the identification of the optic disc contour (as a circle).

Published in:

Computer-Based Medical Systems, 2008. CBMS '08. 21st IEEE International Symposium on

Date of Conference:

17-19 June 2008