This paper is published in Volume-4, Issue-2, 2018
Area
Digital Image Processing
Author
B. Yamini
Co-authors
K. Srilatha
Org/Univ
Sathyabama University, Chennai, Tamil Nadu, India
Pub. Date
26 March, 2018
Paper ID
V4I2-1371
Publisher
Keywords
Glaucoma, Fundus Images, Optic Nerve Head, Cup to Disc Ratio(CDR), ISNT Rule.

Citationsacebook

IEEE
B. Yamini, K. Srilatha. A Survey on Detection of Glaucoma using Fundus Images, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.

APA
B. Yamini, K. Srilatha (2018). A Survey on Detection of Glaucoma using Fundus Images. International Journal of Advance Research, Ideas and Innovations in Technology, 4(2) www.IJARIIT.com.

MLA
B. Yamini, K. Srilatha. "A Survey on Detection of Glaucoma using Fundus Images." International Journal of Advance Research, Ideas and Innovations in Technology 4.2 (2018). www.IJARIIT.com.

Abstract

Glaucoma, an eye disease, is often referred to as the silent thief of sight. The damage done by glaucoma is irreversible. There are many types of glaucoma. Early detection and treatment of glaucoma is the only solution. Till date, many works have been done towards automatic glaucoma detection using Fundus Images (FI) by extracting structural features. Structural features can be extracted from optic nerve head (ONH) analysis, cup to disc ratio(CDR) and Inferior, Superior, Nasal, Temporal (ISNT) rule in Fundus Image for glaucoma assessment. But unfortunately, the works till date fall short of expected accuracy in this regard. A review of automated glaucoma detection techniques is presented in this paper.
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