Screening Diabetic Retinopathy using Statistical Methods

An analysis has been made to the recent digital image processing algorithms in diabetic retinopathy. Diabetic Retinopathy is the common cause of blindness and vision defects in the developing countries. Several algorithms have been developed to pre-process the retinal image and defect the hard exudates in the retinal image. Different digital image processing techniques such as digital image enhancement digital image filter, digital image segmentation, morphology techniques, colour processing, image classification, etc. have been used in diabetic retinopathy. Several fully automatic image processing algorithms have been envolved to diagnose the diabetic retinopathy digital images. A classification of retinal images based on statistical algorithm has proposed. The experimental results show that the proposed algorithm classifies the retinal images with minimum error and faster compared to other existing algorithms.