• N. Kishore Kumar
• G. Mallika
• D. Divya
• K.Durga Prasad
• C. Maheswari

Glaucoma is a eye disease that causes damage to your eye’s optic nerve and can result in vision loss and blindness. However with early detection and treatment, you can often protect your eyes against serious vision loss. Glaucoma is caused due to unawareness in people which can be resulted into permanent blindness. Although the disease is incurable but its symptoms can be minimized therefore early detection of the disease is necessary.Until now there is no low cost method for effective detection of glaucoma. Recent studies used a method called Air-puff Intraocular Pressure(IOP) from 2D retinal images is promising for low cost glaucoma screening .Intraocular pressure(IOP) using tonometer which are performed manually by the clinicians.In this paper we propose method called “CUP TO DISC RATIO “ (CDR) method to detect glaucoma. In this method we use advanced discrete wavelet transform(DWT) features obtained from the Daubechies , Symlets and Biorthogonal(Bio 3.3,Bio 3.5,Bio 3.7) wavelet filters.By using this method, we get accuracy around 94.7% and comparision with existing methods of glaucoma detection from 2D retinal fundus images indicates that the proposed approaches has improved Accuracy.

Glaucoma, Fundus images, Discrete wavelet transform, Feature Extraction, Classification

"AUTOMATED ANALYSIS OF GLAUCOMA DETECTION USING SEGMENTATION AND ANN CLASSIFICATION", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 3, page no.136-142, March-2019, Available :http://www.jetir.org/papers/JETIRAK06026.pdf

"AUTOMATED ANALYSIS OF GLAUCOMA DETECTION USING SEGMENTATION AND ANN CLASSIFICATION", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 3, page no. pp136-142, March-2019, Available at : http://www.jetir.org/papers/JETIRAK06026.pdf