• Smt. Malati.B.Sajjan
• Vijayalaxmi Sadlapur

Retina is one of the important parts of eye that helps us to see the things around. When it is affected with diseases, there may be many problems including vision threatening. The most common problem found in recent years is Glaucoma. It is caused due to an increase in intraocular pressure within eye, resulting in the damage of optic nerve. Due to increase in intraocular pressure, the disc cup size begins to increase which consequently increases the Cup to Disc Ratio and affects the Neuroretinal Rim which slowly leads to vision loss if not diagnosed earlier and treated. Glaucoma usually causes no symptoms and warnings; it can only be diagnosed by regular eye examination. There are many existing methods used in automatic detection glaucoma such as Simple Linear Iterative Clustering, Hough transform, Super pixel Classification, K-means Clustering, Multithresholding Segmentation, to detect the optic cup, optic disc and Cup to Disc Ratio (CDR). The methods used in the existing systems to find CDR is complex due to unclear color texture between the optic cup and optic disc or the cup boundary at the nasal side of the cup is often difficult to determine due to the presences of blood vessels. This is resolved in the current work and it focuses on automatic detection of glaucoma by segmenting optic disc and optic cup using pixel intensity and morphological operations.

Cup to Disk Ratio (CDR), fundusimage, Inferior Superior Nasal and Temporal (ISNT),Classification

"ADVANCED TECHNIQUE TO DETECT GLAUCOMA USING IMAGE PROCESSING", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 3, page no.412-415, March-2018, Available :http://www.jetir.org/papers/JETIR1803482.pdf

"ADVANCED TECHNIQUE TO DETECT GLAUCOMA USING IMAGE PROCESSING", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 3, page no. pp412-415, March-2018, Available at : http://www.jetir.org/papers/JETIR1803482.pdf