Locating the optic disk in retinal images via plausible detection and constraint satisfaction (MA-L4)

Author(s) : Emanuele Trucco (Heriot Watt University, UK) Pawan Kamat (Heriot Watt University, UK)

Abstract : This paper present a novel, robust approach to the automatic location of the optic disk in retinal (fundus) images. Instead of generating a single, high-confidence optic disk candidate, we generate sets of {\it plausible} candidates for optic disk, macula and main vessels, then search the space of all possible triplets (optic disk, macula, vessels) to identify the one satisfying a-priori anatomical constraints. Our first implementation achieved 100\% success with 40 wide-field-of-view retinal images acquired by an OPTOS Panorama ophtalmoscope. It also matched the performance of a visible, recently reported algorithm \cite{HoG03} on the STARE test set \cite{hooverset}, and succeeded in some cases where \cite{HoG03} failed.

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