Cluster Based Method to Spot Hard Exudates in Moderate Stage of Non-Proliferative Diabetic Retinopathy
Keywords:
Diabetic Retinopathy, Hard Exudates, Fundus Image, K-means.Abstract
Diabetic retinopathy (DR) is a diabetes related eye disease which occurs when blood vessels in the retina become swelled and leaks fluid which ultimately leads to vision loss. Several image processing techniques including Image Enhancement, Segmentation, Image Fusion, Morphology, Classification, and registration has been developed for the early detection of DR on the basis of features such as blood vessels, exudes, hemorrhages, and microaneurysms. The damage caused by diabetic retinopathy can be prevented by the early detection of microaneurysms, exudates and hemorrhages in the retina. Hard Exudates are medical sign of DR in fundus image [1]. Presence of exudates described the levels of DR. Timely recognition of exudates can reduce the risks of loss of sight. The proposed paper has discussed about the identification of exudates using K-means clustering in digital image of fundus using different preprocessing and feature extraction techniques.
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