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Attila Budai M. Sc.

Alumnus of the Pattern Recognition Lab of the Friedrich-Alexander-Universität Erlangen-Nürnberg

My vision is to develop a fast and robust algorithm to detect glaucoma and other diseases on eye fundus images

Research Interest

As a member of the Medical Image Processing group I develop automatic and semi-automatic algorithms to detect eye abnormalities and diseases. My research focuses mainly on segmentation methods. The inputs are common or spectral filtered eye fundus photographs, and fundus video sequences. Check the following two images for a sample of common, and spectral filtered fundus photographs.


Common fundus image:
Red channel usually oversaturated
Spectral Filtered fundus image:
The color channels are balanced


The vessel tree and other tissues like optic disc and the macula region will be detected and analysed to extract information about physioligy and diseases of the eye. The following two example show the extracted tortuosity information of the vessels and the optical density of macular pigments.


Visualized tortuosity of vessels
Calculated optical density
of macular pigments