6533b839fe1ef96bd12a6608

RESEARCH PRODUCT

Automated Detection of Optic Disc Location in Retinal Images

L. Di RosaCarmen Alina LupascuDomenico Tegolo

subject

Optic Disc Image Analysis DetectionSettore INF/01 - InformaticaPixelComputer sciencebusiness.industryImage processingFundus (eye)Object detectionHough transformlaw.inventionData setmedicine.anatomical_structureImage texturelawComputer Science::Computer Vision and Pattern RecognitionmedicineComputer visionArtificial intelligencebusinessOptic disc

description

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).

yearjournalcountryeditionlanguage
2008-06-012008 21st IEEE International Symposium on Computer-Based Medical Systems
https://doi.org/10.1109/cbms.2008.15