Survey on Microaneurysms Detection Based on Various Image Processing and Machine Learning Techniques

Abstract

Diabetic Retinopathy (DR) is an eye abnormality and it is one of the main causes for the occurrence of eye blindness at an early age. The diabetic retinopathy is caused due to the disease named Microaneurysms (MA), which damages the retinal blood vessels of an eye. This damage turned into leakage ultimately results into blindness of a patient’s eye. For detection of this abnormality, the images of the fundus from an eye are extracted and are passed for further classification steps. Different machine learning techniques can be used to detect this leakage from the retinal blood vessels. The images used for the purpose of classification can also be pre-processed before applying classification techniques. This preprocessing step helps in improving the efficiency and also increasing the accuracy of the model. These preprocessed images can be used for the purpose of classifying the presence or absence of disease in the eye. The detection of diabetic retinopathy at an early age helps in reducing the damage occurring to an eye and also preventing the patient from going blind.