An Automatic System for the Location of the Optic Nerve Head from 2D Images

Authors:
Margarita Bachiller;Mariano Rincón;José Mira;Julián García-Feijó
Affiliations:
-;-;-;-
Venue:
IWANN '01 Proceedings of the 6th International Work-Conference on Artificial and Natural Neural Networks: Bio-inspired Applications of Connectionism-Part II
Year:
2001

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Abstract

In this paper, we present a vision system in order to improve the diagnosis process of patients with glaucoma. The more accurate mean of assessing is to study the optic nerve head directly from ocular fundus images. Due to the complexity of the problem, our approach decomposes it into simpler subtasks until the primitive level is reached. An example of operationalization of each primitive is shown. Besides a number of experiments were performed in order to detect the papilla contour on real medical images that confirm the proposed operationalization. The main advantages of the system designed are the elimination of the subjectivity that exists in the process of identifying the objects that are present in the ocular fundus image and the full automatization of the process.