Title :
A Simple and Fast Algorithm to Detect the Fovea Region in Fundus Retinal Image
Author :
Samanta, Soumitra ; Saha, Sanjoy Kumar ; Chanda, Bhabatosh
Author_Institution :
ECSU, Indian Stat. Inst., Kolkata, India
Abstract :
Retinal image analysis is one of the crucial topics in medical image processing. During the last three decades, people are trying to extract the different features (like blood vessels, optic disk, macula, fovea etc.) automatically from retinal image. Fovea is one of the important feature of a fundus retinal image. This paper present a simple and fast algorithm using Mathematical Morphology to find the fovea region. Proposed algorithm is based on the structure of the blood vessels and little bit information of the optic disk. We have tested our result on a publicly available DRIVE database and got a comparable results with a state of the art in this area.
Keywords :
blood vessels; eye; feature extraction; mathematical morphology; medical image processing; visual databases; DRIVE database; blood vessels; feature extraction; fovea region detection; fundus retinal image analysis; mathematical morphology; medical image processing; optic disk; Biomedical optical imaging; Blood vessels; Databases; Optical imaging; Pixel; Retina; Blood Vessels; Fovea; Macula; Mathematical Morphology; Optic Disk;
Conference_Titel :
Emerging Applications of Information Technology (EAIT), 2011 Second International Conference on
Conference_Location :
Kolkata
Print_ISBN :
978-1-4244-9683-9
DOI :
10.1109/EAIT.2011.22