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

  • Margarita Bachiller
  • Mariano Rincón
  • José Mira
  • Julián García-Feijó
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2085)


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.


Optic Nerve Optic Nerve Head Photometric Stereo Ocular Fundus Global Thresholding 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2001

Authors and Affiliations

  • Margarita Bachiller
    • 1
  • Mariano Rincón
    • 1
  • José Mira
    • 1
  • Julián García-Feijó
    • 2
  1. 1.Dpto. de Inteligencia Artificial, Facultad de CienciasUNEDMadridSpain
  2. 2.Dpto. de Oftalmología Hospital Clínico San Carlos, Instituto de Investigaciones Oftalmológicas Ramón CastroviejoUniversidad ComplutenseMadridSpain

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