Contribution of Image Processing and Machine Learning for Automated Analysis of Retinal Vessels : A Review (original) (raw)

2017

Abstract

Our normal eye will become an infected eye if it comes under different diseases such as diabetic retinopathy (DR), retinal detachment (RD) etc. Different algorithms and techniques of image processing and pattern recognition have been proposed for detecting and differentiating the normal eye from an infected eye. Automatic detection of different diseases of retina have been proposed and tested which helps the physicians to diagnose the disease with more accuracy. Fundus image is used for automatic detection of retinal diseases. The databases which are taken into consideration for detection of retinal diseases are DRIVE, STARE, REVIEW, MESSIDOR etc. Following a brief review for identifying retinal vessels where the techniques of image processing and machine learning taken into

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