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).
LUPASCU C.A., TEGOLO D, DI ROSA L. (2008). Automated Detection of Optic Disc Location in Retinal Images. In IEEE - INTERNATIONAL SYMPOSIUM ON COMPUTER-BASED MEDICAL SYSTEMS (pp.17-22). LOS ALAMITOS [10.1109/CBMS.2008.15].
Automated Detection of Optic Disc Location in Retinal Images
TEGOLO, Domenico;DI ROSA, Luigi
2008-01-01
Abstract
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).
| File | Dimensione | Formato | |
|---|---|---|---|
|
FullText.pdf
Solo gestori archvio
Dimensione
1.59 MB
Formato
Adobe PDF
|
1.59 MB | Adobe PDF | Visualizza/Apri Richiedi una copia |
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
