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2008 21st IEEE International Symposium on Computer-Based Medical Systems
Automated Detection of Optic Disc Location in Retinal Images
June 17-June 19
ISBN: 978-0-7695-3165-6
| ASCII Text | x | ||
| Carmen Alina Lupascu, Domenico Tegolo, Luigi Di Rosa, "Automated Detection of Optic Disc Location in Retinal Images," 2012 25th IEEE International Symposium on Computer-Based Medical Systems (CBMS), pp. 17-22, 2008 21st IEEE International Symposium on Computer-Based Medical Systems, 2008. | |||
| BibTex | x | ||
| @article{ 10.1109/CBMS.2008.15, author = {Carmen Alina Lupascu and Domenico Tegolo and Luigi Di Rosa}, title = {Automated Detection of Optic Disc Location in Retinal Images}, journal ={2012 25th IEEE International Symposium on Computer-Based Medical Systems (CBMS)}, volume = {0}, year = {2008}, issn = {1063-7125}, pages = {17-22}, doi = {http://doi.ieeecomputersociety.org/10.1109/CBMS.2008.15}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, } | |||
| RefWorks Procite/RefMan/Endnote | x | ||
| TY - CONF JO - 2012 25th IEEE International Symposium on Computer-Based Medical Systems (CBMS) TI - Automated Detection of Optic Disc Location in Retinal Images SN - 1063-7125 SP17 EP22 A1 - Carmen Alina Lupascu, A1 - Domenico Tegolo, A1 - Luigi Di Rosa, PY - 2008 KW - optic disc detection KW - retinal images KW - image processing KW - fundus image VL - 0 JA - 2012 25th IEEE International Symposium on Computer-Based Medical Systems (CBMS) ER - | |||
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/CBMS.2008.15
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).
Index Terms:
optic disc detection, retinal images, image processing, fundus image
Citation:
Carmen Alina Lupascu, Domenico Tegolo, Luigi Di Rosa, "Automated Detection of Optic Disc Location in Retinal Images," cbms, pp.17-22, 2008 21st IEEE International Symposium on Computer-Based Medical Systems, 2008
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