A Novel Approach for Detection of Hard Exudates Using Random Forest Classifier.

摘要: Diabetic Retinopathy is the major cause of blindness for diabetics in which retina damaged. Regular screening system help detecting early symptoms like exudates, are due to leakage blood pressure vessels. The significant role proposed hard exudates prevention visual loss and blindness. Many researchers studied investigated about region but not satisfied with their results. Fundamental medical image processing steps different techniques implemented by system. Random Forest a novel classification applied on color retinal images able classify cluster data high accuracy. performance obtained analyzing accuracy from classifier. These Database (DIARETDB) database. simulation results MATLAB 2018. By applying improves automatic detection images. achieved compared existing classifiers since classifier provides 99.89%