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Proceedings Paper

Procedure to detect anatomical structures in optical fundus images
Author(s): Langis Gagnon; Marc Lalonde; Mario Beaulieu; Marie-Carole Boucher
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Paper Abstract

We present an overview of the design and test of an image processing procedure for detecting all important anatomical structures in color fundus images. These structures are the optic disk, the macula and the retinal network. The algorithm proceeds through five main steps: (1) automatic mask generation using pixels value statistics and color threshold, (2) visual image quality assessment using histogram matching and Canny edge distribution modeling, (3) optic disk localization using pyramidal decomposition, Hausdorff-based template matching and confidence assignment, (4) macula localization using pyramidal decomposition and (5) bessel network tracking using recursive dual edge tracking and connectivity recovering. The procedure has been tested on a database of about 40 color fundus images acquired from a digital non-mydriatic fundus camera. The database is composed of images of various types (macula- and optic disk-centered) and of various visual quality (with or without abnormal bright or dark regions, blurred, etc).

Paper Details

Date Published: 3 July 2001
PDF: 8 pages
Proc. SPIE 4322, Medical Imaging 2001: Image Processing, (3 July 2001); doi: 10.1117/12.430999
Show Author Affiliations
Langis Gagnon, Computer Research Institute of Montreal (Canada)
Marc Lalonde, Computer Research Institute of Montreal (Canada)
Mario Beaulieu, Computer Research Institute of Montreal (Canada)
Marie-Carole Boucher, Maisonneuve-Rosemont Hospital (Canada)

Published in SPIE Proceedings Vol. 4322:
Medical Imaging 2001: Image Processing
Milan Sonka; Kenneth M. Hanson, Editor(s)

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