A Survey of Retinal Image Segmentation

• Published in: 2022 International Conference for Advancement in Technology (ICONAT) pp. 1 - 6
• Main Authors: R, Swaythana, V, Shree Vardhini, Hemalakshmi, G.R.
• Format: Conference Proceeding
• Language: English
• Published: IEEE 21.01.2022
• Subjects: Blood vessels; Image edge detection; Image segmentation; Integrated optics; Optic Disc; Optical imaging; Retina; Retinal Fundus images; Segmentation Algorithms; Visualization
• DOI: 10.1109/ICONAT53423.2022.9725960

There is a multitude of health issues that impact people of all ages all around the world. Retinal disorders that are asymptomatic can result in substantial visual loss. A retinal eye disease called age-related macular degeneration (AMD) can obscure the clear, center vision required for tasks such as reading. Choroidal neovascularization is a complication that can cause a variety of problems. Segmentation of retinal images is essential for detecting these illnesses. These segmentation approaches for extracting specific images aid in diagnosis and treatment. In this work, different techniques for segmenting the optic disc and blood vessels on retinal pictures were used. The created methodologies are tested on a variety of retinal images, and the results show that the given strategy outperforms other proposed methods for segmentation of optic disc and blood vessels. The results of segmentation are evaluated in terms of accuracy, edge and radius continuity, and background noise.