Hardware Based Analysis on Automated Early Detection of Diabetic-Retinopathy

This paper discusses primarily the hardware based issues on early detection of diabetic retinopathy. Software based algorithms for preprocessing, segmentation, and, classification stages are initially analyzed. Later those techniques were customized and implemented using TMS320C6713 based DSP Kits of Texas instruments with code composer studio for the early detection of diabetic retinopathy through the fundus images of retina. The hardware based implementation shows more effective results as compared to other existing approaches.