Fractal-based automatic localization and segmentation of optic disc in retinal images.
In this paper, we proposed a novel algorithm to detect optic disc location in retinal images. Optic disc is a bright disk area and all major blood vessels and nerves originate from it. With its high fractal dimension of blood vessel, optic disc can be easily differentiated from other bright regions such as hard exudates and artifacts. Compared with existing algorithms, ours has much lower computational cost and is more robust. With its location known, segmentation of optic disc can be done with simple local histogram analysis. The algorithm can be valuable for automated processing for early stage retinal disease.
Ying
Huajun
H
Department of Computer Science, Texas A&M University, College Station, TX 77843-3112, USA.
Zhang
Ming
M
Liu
Jyh-Charn
JC
D000465:Algorithms; D017709:Fractals; D006801:Humans; D007091:Image Processing, Computer-Assisted; D009898:Optic Disk / Q000098:blood supply / Q000473:pathology*; D012164:Retinal Diseases / Q000175:diagnosis* / Q000473:pathology; D012984:Software