Decision Support System for Automated Detection of Glaucoma using Digital Fundus Imagery

Abstract

Glaucoma is one of the eye related diseases which cause permanent blindness if not diagnosed and cured timely. Well-timed diagnosis can only be possible if all the patients suspected of Glaucoma are thoroughly checked by classified ophthalmologist periodically. This activity of clinical examination is time consuming as well as entail more resources therefore an automated system is preferred which could support ophthalmologists in decision making. Digital retinal fundus imaging is one of the sources available in Ophthalmology which could be used in detecting most of the eye related diseases including Glaucoma with the help of pattern recognition and image processing techniques. In this research, the main aim remained to device an automated system capable of detecting Glaucoma using digital fundus image. The system will be able to carry out mass scale screening of eye patients without involvement of ophthalmologist. This process will segregate suspected Glaucomic patients from normal ones for detailed analysis hence reducing burden on limited availability of specialists.