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Published in:
2014 | OriginalPaper | Chapter
Automatic Fovea Localization in Fundus Images
Authors : Attila Budai, Katja Mogalle, Alexander Brost, Joachim Hornegger, Georg Michelson
Published in: Bildverarbeitung für die Medizin 2014
Publisher: Springer Berlin Heidelberg
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One of the most common modalities to examine the eyebackground is the fundus image. These images are photographs taken through the pupil by a fundus camera. The evaluation of these images is usually carried out by ophthalmologists or experts during visual inspection. The aim of our work is to accelerate this process by a fullyautomatic screening. To enable the automatic disease and tissue specific feature extraction, it is necessary to segment the different visible structures in the images. Our group already published methods to extract the vessel tree and estimate the position and diameter of the optic nerve head. In this paper, we present our methods to localize the fovea and the macula region, and compare it to other approaches using the High Resolution Fundus database. Our evaluation showed, that our proposed method is capable of localizing the macula region with an average distance error of 0.1 times optic disk diameter.