Segmentation of optic disc using dispersive phase stretch transform

Abstract

Indonesia is one of ten countries with the highest diabetic prevalence. It becomes a concern of the government because aside from personal health, this disease also has social and economic impacts since it causes a decrease in productivity. One complication of this disease to the patient is impaired vision is diabetic retinopathy (DR). In order to prevent further development of DR, early detection needs to be performed with routine check on patient's eyes. Clinical features on eye retina that can be used for detection of DR include microaneurysms, hard and soft exudates, haemorrhages, neovazcularisation and macular edema. Segmentation of optic disc (OD) is a very important step to detect these features. This study used red channel from original image based on dispersive phase stretch transform (PST) to detect OD. Final result of segmented optic disc is validated by measuring positive predictive value (PPV). The result shows that PPV for optic disc detection by comparing detected optic disc in ground truth image is 97.74%. This result indicates that the proposed approach successfully detect optic disc and is able to assist the ophthalmologists in analysing retinal fundus image to diagnose glaucoma and diabetic retinopathy.