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Arteriolar to Venular Diameter Ratio Analysis From Retinal Blood Vessels

M.S. Kalyana Sundaram*, K. Gokulakrishnan**

* PG Student, Department of Electronics and Communication Engineering, Regional Centre, Anna University, Tirunelveli, TamilNadu, India.

** Assistant Professor, Department of Electronics and Communication Engineering, Regional Centre, Anna University, Tirunelveli, TamilNadu,

Periodicity:June - August'2014
DOI : https://doi.org/10.26634/jpr.1.2.2925

Abstract

In clinical diagnosis, the retinal images perform a very important role. Especially, Arteriolar to Venular Ratio (AVR) value is more necessary for the early detection of cardio vascular diseases like hypertension, coronary disease and few retinopathy Diseases. For the diagnosis of these diseases, the AVR must be calculated very accurately and it requires the correct method of vessel identification and also an accurate diameter measurement. In this paper, 'Graph Tracer Algorithm' is implemented for identifying the retinal blood vessel very precisely. The Naive Bayes classifier is used classifying these identified vessels into artery and vein. Finally, the AVR is calculated for these true vessels and the values are compared with the Gold standard AVR values.

Keywords

Hypertension, Cardiovascular Diseases, Clinical Diagnosis, AVR, Classifier, Gold Standard AVR Value.

How to Cite this Article?

Sundaram, M. S. K., and Gokulakrishnan, K. (2014). Arteriolar to Venular Diameter Ratio Analysis From Retinal Blood Vessels. i-manager’s Journal on Pattern Recognition, 1(2), 24-29. https://doi.org/10.26634/jpr.1.2.2925

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