Automatic generation of synthetic retinal fundus images

Samuele Fiorini, Lucia Ballerini, Emanuele Trucco, Alfredo Ruggeri

Research output: Contribution to conferencePaperpeer-review

Abstract

This study aims to generate synthetic and realistic retinal fundus colour images, similar in characteristics to a given dataset, as well as the values of all morphological parameters. A representative task could be, for example, the synthesis of a retinal image with the corresponding vessel tree and optic nerve head binary map, measurement of vessel width in any position, fovea localisation and so on. The presented paper mainly focuses on the generation of non-vascular regions (i.e. retinal background, fovea and optic disc) and it is complemented by a parallel study on the generation of structure and texture of
the vessel network. To synthesise convincing retinal backgrounds and foveae, a patchbased algorithm has been developed; model-based texture synthesis techniques have also been implemented for the generation of realistic optic discs. The validity of our synthetic retinal images has been demonstrated by visual inspection and quantitative experiments.
Original languageEnglish
Publication statusPublished - 10 Jul 2014

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