Optic disc segmentation using a matching filter and a deformable model

  • Authors:

  • C. Mariño;N. Barreira;M. G. Penedo;M. Hortas;A. Pérez-Urría;J. L. Doncel;F. González

  • Affiliations:

  • Grupo de Visión Artificial y Reconocimiento de Patrones, University of A Coruña, A Coruña, Spain;Grupo de Visión Artificial y Reconocimiento de Patrones, University of A Coruña, A Coruña, Spain;Grupo de Visión Artificial y Reconocimiento de Patrones, University of A Coruña, A Coruña, Spain;Grupo de Visión Artificial y Reconocimiento de Patrones, University of A Coruña, A Coruña, Spain;Grupo de Visión Artificial y Reconocimiento de Patrones, University of A Coruña, A Coruña, Spain;Grupo de Visión Artificial y Reconocimiento de Patrones, University of A Coruña, A Coruña, Spain;University of Santiago de Compostela, School of Medicine and Complejo Hospitalario Universitario of Santiago, Santiago de Compostela, Spain

  • Venue:
  • ACS'06 Proceedings of the 6th WSEAS international conference on Applied computer science
  • Year:
  • 2006

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Abstract

This paper presents an algorithm for automatic extraction of the optic disc in retinal digital images. The developed system consists of two main parts. Firstly, a clustering algorithm is used to select the regions which contain the pixels with the highest gray levels. A correlation filter is applied to these regions to compute the approximate center of the optic disc. Then, in order to extract the optic disc, a deformable model which works in three stages is used. The localization of the region of interest is successful in 98.5% of the cases and the optic disc is correctly extracted in 93% of the cases.