ABSTRACT

Diabetic retinopathy is the cause for blindness in the human society. Early detection of it prevents blindness. Image processing techniques can reduce the work of ophthalmologists and the tools used automatically locate the exudates. Early detection helps the patients to aware of the seriousness of the disease. In this paper we present a method which is automatic and involves two steps: optic disk detection and exudates detection. The extraction of optic disk is done using propagation through radii method. Exudates detection is done using feature extraction, template matching and enhanced MDD classifiers and the methods are compared.