Published Paper Details:

This paper presents diagnosis of diabetic retinopathy affected diabetic patients using image processing methods.To study recent algorithms related to Image Enhancement (Morphological enhancement-Fusion Morphological Reconstruction (FMR)) and Segmentation (Morphological Watershed and Fast Marching Algorithm) to solve the problem and attempt to modify the algorithm for specific application. To establish an Improved efficient fusion approach as said in title of the topic by combining the image processing (Enhancement and segmentation) techniques as per requirements and also to tabulate statistical comparison of image attributes. To explore and investigate the significance of less commonly used estimate parameters in process of medical image analysis. To develop a frame work for qualitative automatic medical imaging to detect and forecast the irregularity in the considered problem for accurate diagnosis. In addition, we have developed a novel algorithm for the parallelization of the fast marching method which uses the time warp approach to parallel discrete event simulation. The new algorithm has been implemented using the message passing interface (MPI), enabling it to run on distributed memory machines.This is very useful for diabetic retinopathy affected diabetic patients and monitoring the affected range of eyesight.