Fundus Retinal Images and Glaucoma Detection

Authors

Lama Alsabban, effat universityFollow
Malak Alnahdi
Nema Salem

Abstract

Abstract. Glaucoma is a severe eye disease that has no symptoms and, globally, it is the second cause of blindness. Glaucoma causes structural changes in the retina that make ophthalmologists detecting the disease in early stage and thus provide the suitable treatment. Fundus camera is an imaging technique that provides the fundus image showing the internal structure of retina. Our project provides an automated system for early detection of Glaucoma. The proposed system based MATLAB starts by acquiring the fundus image, followed by preprocessing stage, going through noise removal, enhancement, segmentation, feature extraction and ends up by the classification stage. Accurate and advanced algorithms are used in each processing stage to have a reliable and accurate automated Glaucoma diagnosis system. The image acquisition is achieved by using D.EYE case, preprocessing by ROI and using Gaussian filter, enhancement by using Histogram, segmentation by using Superpixel segmentation for cup and disc, feature extraction by doing CDR calculations and classification to identify glaucoma.

Recommended Citation

Alsabban, Lama; Alnahdi, Malak; and Salem, Nema (2021) "Fundus Retinal Images and Glaucoma Detection," Effat Undergraduate Research Journal: Vol. 2: Iss. 1, Article 5.
Available at: https://digitalcommons.aaru.edu.jo/eurj/vol2/iss1/5