Interactive blood vessel segmentation from retinal fundus image based on canny edge detector

• Main Authors: Ibrahim, Haidi, Ooi, Alexander Ze Hwan, Soo, Siang Teoh, Embong, Zunaina, Abd Hamid, Aini Ismafairus, Zainon, Rafidah, Shir, Li Wang, Theam, Foo Ng, Hamzah, Rostam Affendi
• Format: Article
• Language: English
• Published: MDPI 2021
• Online Access: http://eprints.utem.edu.my/id/eprint/25969/2/SENSORS-21-06380-V2_OPTIMIZED.PDF; http://eprints.utem.edu.my/id/eprint/25969/; https://www.mdpi.com/1424-8220/21/19/6380

Optometrists, ophthalmologists, orthoptists, and other trained medical professionals use fundus photography to monitor the progression of certain eye conditions or diseases. Segmentation of the vessel tree is an essential process of retinal analysis. In this paper, an interactive blood vessel segmen...