Improve the Detection of Retinopathy with Roberts Cross Edge Detection

Abstract

Image processing is most useful tool for pattern recognition and compare between two images. In retinopathy diagnosis, Roberts cross is an image processing filter that can be extracted vertical and horizontal edges, where the change has been detected from the corresponding pixels. It is a gradient kernel where vertical edges and horizontal edges are extracted separately, and later, magnitude has been computed by combining both the parameters. It has been considered as best edge detection tool in image processing for obtaining sensitive edges. For calculations, 150 images are taken for result which is generated by this system. Here, system achieved 96.66% of accuracy with nominal false acceptance rate. The results are run on MATLAB tool.