Diabetic　retinopathy　(DR)　is　a　condition　where　the　retina　is　damaged　due　to　fluid　leaking　from　the　blood　vessels　into　the　retina.　The　main　stages　of　diabetic　retinopathy　are　non-proliferate　diabetes　retinopathy　(NPDR)　and　proliferate　diabetes　retinopathy　(PDR).　Early　detection　of　diabetic　retinopathy　is　crucial　to　prevent　blindness.　In　this　work,　we　have　proposed　a　computer　based　approach　for　the　detection　of　diabetic　retinopathy　stage　using　color　fundus　images.　Image　preprocessing,　morphological　processing　techniques　and　texture　analysis　methods　are　applied　on　the　fundus　images　to　detect　the　features　such　as　area　of　blood　vessels,　hard　exudates　and　the　contrast,　homogeneity.　The　features　are　fed　to　the　support　vector　machine　(SVM).　We　demonstrate　a　classification　accuracy　of　93%,　sensitivity　of　90%　and　specificity　of　100%.　©　2013　TCCT,　CAA.