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Localization and Extraction of the Optic Disc Using the Fuzzy Circular Hough Transform

  • M. Blanco
  • M. G. Penedo
  • N. Barreira
  • M. Penas
  • M. J. Carreira
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4029)

Abstract

This paper presents an algorithm for automatic extraction of the optic disc in retinal images. The developed system consists of two main parts. Firstly, the localization of the region containing the optic disc is performed by means of a clustering algorithm. Then, in order to extract the optic disc, the fuzzy circular Hough transform is applied to the edges of the region. The optic disc might not be extracted since there are vessels in the inside of the optic disc. To avoid this, a crease extraction algorithm is applied to the retinal image. The vessels are extracted and the vessel edge points contained in the edge image are removed. The final system was tested by ophthalmologists. The localization of the region of interest is correct in 100% of the cases and the extraction of the optic disc is obtained in 98% of the cases.

Keywords

Optic Disc Retinal Image Edge Point Edge Image Automatic Extraction 
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 2006

Authors and Affiliations

  • M. Blanco
    • 1
  • M. G. Penedo
    • 1
  • N. Barreira
    • 1
  • M. Penas
    • 1
  • M. J. Carreira
    • 2
  1. 1.Computer Science DepartmentUniversity of A CoruñaSpain
  2. 2.Electronics and Computer Science DepartmentUniversity of Santiago de CompostelaSpain

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