Identification and segmentation of exudates using SVM classifier

The eye is a vital organ and it is the main organ that is mainly affected because of diabetes. Different types of diseases were commonly present in an eye. The exudate detection in retinal images will be helpful in the early identification of Diabetic Retinopathy. The retinal images were initially resized, and they are filtered using median filter. Then the filtered image is classified into Normal or exudates affected by using the SVM classifier. The Gabor features and GLCM features were provided to the SVM classifier for classifying retinal images into normal (or) abnormal. The exudates were segmented using thresholding and morphological operations. The performance of the process is measured by calculating the performance metrics of the classifier such as Correctness, Sensitivity, Specificity.