JJEM Seventh Issue - Volume 4 Number 1 -2020

Welcome to JJEM: A Multi-Disicplinary Journal of JNNCE, Shimoga

Volume 4, Issue 1


Diabetic Retinopathy Detection by Image Processing Algorithms and Machine Learning Technique


Published:    2020-11-30


Authors


Mohammed Ayub Khan,  Anantraya Prabhakar Balgi,  Chaithra C.,  Pramod Kumar S.


Abstract


Diabetic disease is a persistent sickness caused by both absence of insulin production in body or incapacity to withstand insulin in the body. Due to diabetic disease it causes cardiac problems, vascular ailment and paralysis, kidney disorder. Neuropathy and diabetic eye disease disorder called as Diabetic Retinopathy. Diabetic disease for an extended time damages nerves of retina and thereby reducing vision capacity of a person and leading to diabetic retinopathy. Here the classification is done into three stages. They are Normal eye, Diabetic Retinopathy eye and Age-related Macular Degeneration (AMD). Diabetic retinopathy finding in fundus image is detected through image processing and device mastering strategies. Here we use Support Vector Machine (SVM) for purpose of classification which is most suitable in this work.


Keywords


Retinopathy; Segmentation; Image Processing.