Gegúndez Arias, Manuel EmilioMarín Santos, DiegoAquino Martín, ArturoUniversidad de Huelva. Departamento de Ingeniería Electrónica, de Sistemas Informáticos y Automática2011-03-092011-03-092010-11Aquino, A., Gegúndez Arias, M.E., Marín Santos, D.:"Detecting the optic disc boundary in digital fundus images using morphological, edge detection, and feature extraction techniques". IEEE Transactions on Medical Imaging, 29 (11): 1860-1869 NOV 2010. ISSN 0278-00620278-0062http://hdl.handle.net/10272/4446Optic disc (OD) detection is an important step in developing systems for automated diagnosis of various serious ophthalmic pathologies. This paper presents a new template-based methodology for segmenting the OD from digital retinal images. This methodology uses morphological and edge detection techniques followed by the Circular Hough Transform to obtain a circular OD boundary approximation. It requires a pixel located within the OD as initial information. For this purpose, a location methodology based on a voting-type algorithm is also proposed. The algorithms were evaluated on the 1200 images of the publicly available MESSIDOR database. The location procedure succeeded in 99% of cases, taking an average computational time of 1.67 s. with a standard deviation of 0.14 s. On the other hand, the segmentation algorithm rendered an average common area overlapping between automated segmentations and true OD regions of 86%. The average computational time was 5.69 s with a standard deviation of 0.54 s. Moreover, a discussion on advantages and disadvantages of the models more generally used for OD segmentation is also presented in this paper.engAtribución-NoComercial-SinDerivadas 3.0 Españahttp://creativecommons.org/licenses/by-nc-nd/3.0/es/Oftalmología-InstrumentosFuzzy convergenceRetinal imagesBlood-vesselsSegmentationRetinopathyEllipsesCirclesNervejournal articleopen access