Detecting the Optic Disc Boundary in Digital Fundus Images Using Morphological, Edge Detection, and Feature Extraction Techniques

Aquino, Arturo; E. Arias, M.; Marín, D.

doi:10.1109/tmi.2010.2053042

Public

Detecting the Optic Disc Boundary in Digital Fundus Images Using Morphological, Edge Detection, and Feature Extraction Techniques

Published in IEEE Transactions on Medical Imaging • Jun 23, 2010

Authors:

Arturo Aquino

M. E. Arias

D. Marín

Abstract

Optic 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 techn...

Subject

Hough transform

Artificial intelligence

Segmentation

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