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Morphology of retina indicates the diseases like diabetic retinopathy, glaucoma and hypertension. Automatic extraction of lesions from retinal images can assist in early diagnosis and screening of common disease such as Diabetic Retinopathy. Automated identification of exudates pathologies in retinopathy fundus images based on fuzzy c means clustering. This approach employs a unique sequential execution of morphological operators to extract fundus image features like vessels, red lesions, and white lesions together with texture feature analysis .Finally features selected are passed into the well-known support vector machine (SVM) classifier which classifies the images into normal and abnormal classes and abnormal regions can be extracted.