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International Journal of Advanced Research in Computer and Communication Engineering A monthly Peer-reviewed & Refereed journal
ISSN Online 2278-1021ISSN Print 2319-5940Since 2012
IJARCCE adheres to the suggestive parameters outlined by the University Grants Commission (UGC) for peer-reviewed journals, upholding high standards of research quality, ethical publishing, and academic excellence.
← Back to VOLUME 5, ISSUE 5, MAY 2016

Review of Image Processing Techniques for Optic Cup and Optic Disc Segmentation for Glaucoma Detection

Pratibha Singh, Prof.Rakesh Kumar Singh, Pooja Gupta

DOI: 10.17148/IJARCCE.2016.5520

Abstract: The review paper describes various image processing techniques for optic cup and disc segmentation for automatic detection of glaucoma. Glaucoma is the second leading cause of blindness that can damage the eye�s optic nerve, resulting in loss of vision and thereby cause permanent blindness. This disease cannot be cured, hence detecting the disease in time is important. Current diagnosis of glaucoma relies upon examining retinal fundus image using image processing. Optic nerve head assessment in retinal fundus images is a promising method wherein optic cup and optic disc are segmented. The segmented optic disc and optic cup are then used to compute the Cup to Disc Ratio (CDR) for glaucoma screening.



Keywords: Fundus Image, Glaucoma, Optic nerve head, optic cup, optic disc, CDR.

How to Cite:

[1] Pratibha Singh, Prof.Rakesh Kumar Singh, Pooja Gupta, “Review of Image Processing Techniques for Optic Cup and Optic Disc Segmentation for Glaucoma Detection,” International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), DOI: 10.17148/IJARCCE.2016.5520