Semi-automatic identification of optic disk by image processing for quantitative funduscopy

Abstract

This paper describes the current state of research and development of a system for the partial automation of quantitative funduscopy. Image processing techniques are used to segment the optic disk and estimate the parameters of the circumference associated with it. The global objective is to facilitate the diagnosis of pathologies like systemic arterial hypertension and diabetes mellitus.