Analysis Of Cdr Detection For Glaucoma Diagnosis

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. Though there is no cure, early diagnosis with adequate medication and care, it is possible to stop further impact on vision to a patient. Quantitative evaluation or description of optic disc in retinal fundus image will add as vital information for early and accurate diagnosis of disease at different stages. The proposed approach in this project is to segment the color fundus camera image and calculate the features to segment optic disc and cup separately viz., K-Means Pixel Clustering Technique and Gabor Wavelet transform. Image Segmentation will be followed by region description and feature extraction. Several structural features such as Cup to Disk Ratio (CDR), eccentricity, Compactness, Mass Deficient Coefficient etc., can be estimated from the segmented optic disc and cup. Apart from structural features, textural features can also extracted using various statistical techniques and used as vital parameter for quantitative description of the abnormal cases. If the CDR ratio exceeds 0.3 it indicates high Glaucoma for