Glaucoma Detection Using Fundus Images of The Eye

Abstract

Glaucoma is one of the leading causes of irreversible blindness in people over 40 years old. In Colombia there is a high prevalence of the disease, being worse the fact that there is not enough ophthalmologists for the country’s population. Fundus imaging is the most used screening technique for glaucoma detection for its trade-off between portability, size and costs. In this paper we present a computational tool for automatic glaucoma detection. We report improvements for disc segmentation in comparison with other works on the literature, a novel method to segment the cup by thresholding and a new measure between the size of the cup and the size of the disc. Results were obtained from a set of fundus images in collaboration with the Center of Prevention and Attention of Glaucoma in Bucaramanga, Colombia, where the percentage of success of glaucoma detection was of 88.5%.