The diagnoses of Hypertensive Retinopathy (HR) through retinal images become most important issue today, because HR is rapidly increasing disease that is found in eyes. HR occurs due to the highness of the blood pressure. The most important measurement that is used to diagnose HR through retinal images is arteriovenous ratio (AVR). This paper describe a method to determine AVR by first segment the vessels using match filtering technique and then detect the optic disk in order to determine the Region of Interest. Once the region of Interest is found, it classifies the blood vessels into arteries and veins using Neural Network to determine the AVR. The proposed work is implemented using MATLAB R2014a. This paper is divided into four sections. Section 1 will describe the Introduction. Section 2 will describe the method/techniques to determine AVR. Section 3 will describe the comparison of results with some previous results. Section 4 will describe the conclusion.
Retinal Image Reconstruction, Vessels Enhancement, Vessels Segmentation, Neural Network Classification and Blood Vessels Width
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