Fundus Image Segmentation and Analysis for Diabetic Retinopathy

In this paper the diabetic retinopathy is analysed from an image using exudate secretion in the retina. An Edge analysing from the scanned image to change the valve in the image intensity, usually associated with a discontinuity in either the image intensity. Edges detection is a problem of fundamental importance in object extraction as it reduces image data and detects the object which is required. Edges identify object boundaries and are detected through changes in gray level above a particular threshold. A Diabetic retinopathy is a very recent method of finding the level of acid secretion in the eye while the person having diabetics in their body. The edge detection is mainly applicable in case of data transmission; in that case the detected edge data reduce the amount of data to be transmitted. The experimental results show that our method achieves 91% in sensitivity and 92% in positive prediction value (PPV), which both outperform the state of the art methods significantly.