Detection and tracking of retinal vessels in fundus image
Lam, Hwee Keong
Date of Issue2004
School of Computer Engineering
Development of algorithms to automatically detect and locate the blood vessels in colour fundus images. The blood vessels are detected by first scanning the whole image for possible vessel points. Following the main blood vessel, a convergence point is found and is labeled as the optic nerve center.
DRNTU::Engineering::Electrical and electronic engineering::Optics, optoelectronics, photonics
Nanyang Technological University