Different Exudates Segmentation Techniques in Fundus Images of Diabetic Retinopathy

Abstract

Now a day’s Diabetic retinopathy is a serious medical issue that mainly harm the human retina and finely vision blindness. The analysis of the Retinal images is done through different diagnosis methods in modern Ophthalmology. There are different methods available for segmentation of the exudates in the fundus retinal images. These methods are used for non-intrusive diagnosis for the eye diseases. Exudates are the manifestations of DR. This paper has demonstrated different methods of exudates segmentation with its advantages and constraints. Accordingly in this paper overview the various main elements of the retina. All examined systems have enhanced the execution in terms of accuracy, specificity and sensitivity. The examination has demonstrated that ant colony optimization based segmentation has better outcomes over each systems.