An Automated System for Glaucoma Diagnosis
Saranya C.G.1, Lizy Abraham2
1Saranya C.G., Department of Electronics and Communication, LBS Institute of Science and Technology for Women, Thiruvananthapuram (Kerala), India.
2Dr. Lizy Abraham, Department of Electronics and Communication, LBS Institute of Science and Technology for Women, Thiruvananthapuram (Kerala), India.
Manuscript received on 15 August 2015 | Revised Manuscript received on 25 August 2015 | Manuscript Published on 30 August 2015 | PP: 204-207 | Volume-4 Issue-6, August 2015 | Retrieval Number: F4214084615/15©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Glaucoma is one among the major eye diseases which, if not treated, can lead to permanent blindness. Diagnosis of glaucoma in early stages plays a key role in preventing vision loss. The optic cup-to-disc ratio (CDR) in retinal fundus images is one of the principle physiological characteristics in the diagnosis of glaucoma. Currently, CDR is computed manually by specially trained clinician which is a time consuming and resource intensive process. This drew the attention of researchers in developing an automated system to aid ophthalmologists in glaucoma diagnosis. A new method for glaucoma screening based on CDR measurement is presented and discussed here. Active contour is used to find optic disc boundary and there by optic disc diameter is computed. Blue channel intensity profile is plotted to calculate optic cup diameter. Higher value of CDR indicates glaucoma whereas normal eyes have small CDR value. The method was tested on publicly available database HRF and has attained better results than conventional approaches.
Keywords: Active Contour, Cup-To-Disc Ratio (CDR) Glaucoma, Optic Disc
Scope of the Article: Optical Devices