Glaucoma detection using Image Processing

Volume 5 Issue 1 January - March 2018

Research Paper

Glaucoma detection using Image Processing

S.P Jagtap*, Pradnya A.Shinde**, Akshay S.Manmode***, Mohini B.Kalekar****, Pratik S.Talware*****

* Assistant Professor, Department of Electronics & Communication Engineering, Pimpri Chinchwad College of Engineering, Pune, Maharashtra, India.

**-***** UG Scholar, Department of Electronics & Communication Engineering, Pimpri Chinchwad College of Engineering, Pune, Maharashtra, India.

Jagtap, S.P., Shinde,P.A., Manmode,A.S., Kalekar,M.B., and Talware,P.S. (2018). Glaucoma Detection Using Image Processing. i-manager’s Journal on Image Processing, 5(1), 12-19. https://doi.org/10.26634/jip.5.1.14050

Abstract

Glaucoma is the most common cause of blindness in India. Diagnosis of glaucoma is based on measurement of intraocular pressure by cup area to disc area ratio from the color fundus images. When this intraocular pressure (IOP) is increased in internal eye, vision starts to decline. So, detection of glaucoma is essential for minimizing the vision loss. An approach for detection of glaucoma using fundus images is developed. The Region of interest (ROI) based segmentation is used for the detection of disc. The optic cup and disc localization are used for detecting the region of interest, and Gabor filter is used for edge detection. A Semi automated method using CDR ratio in glaucoma detection of a fundus image has been proposed. The Cup to Disc Ration (CDR) is defined as the ratio of the area between Optic Cup and Optic Disk. Optic cup size increases while the Optic Disc size remains same for a patient in Glaucoma detection and the CDR will be high for a glaucoma patient when comparing with normal fundus image. In this paper the Cup to disc ratio calculation is discussed for detection and classification of glaucoma.