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Research Journal of Pharmacy and Technology
Year : 2019, Volume : 12, Issue : 10
First page : ( 5011) Last page : ( 5014)
Print ISSN : 0974-3618. Online ISSN : 0974-360X.
Article DOI : 10.5958/0974-360X.2019.00869.2

Central Retinal Artery Occlusion: The Identification and Segmentation of Retinal Blood Vessels

Sathish B. S.1,*, Murugesan R.2, Joseph L.M.I. Leo3, Kalist V.4, Ganesan P5,

1Department of Electronics and Communication Engineering, Ramachandra College of Engineering, Eluru, India

2Department of Electronics and Communication Engineering, Malla Reddy College of Engineering and Technology, Secunderabad, Telangana, India

3Department of Electronics and Communication Engineering, S.R.Engineering College, Warangal, India

4Department of Electronics and Communication Engineering, Sathyabama Institute of Science and Technology

5Department of Electronics and Communication Engineering, Vidya Jyothi Institute of Technology, Hyderabad

Corresponding Author E-mail: subramanyamsathish@yahoo.co.in, rmurugesan61@gmail.com, leojoseph@srecwarangal.ac.in, kalist.v@gmail.com, gganeshnathan@gmail.com

Online published on 24 December, 2019.

Abstract

The Central Retinal Artery Occlusion is a retinal disorder in which blood flow through the major artery of retina gets blocked resulting in sudden vision loss without any pain in the affected eye. This blockage generally comes from a blood clot or cholesterol deposit in the blood vessel. The segmentation of retinal blood vessels and optical disc is the most vital and challenging task to investigate the rigorousness of the various retinal diseases such as branch retinal vein occlusion. There is lot of methods and algorithms are developed to address this issue. The proposed method enlightens the central retinal artery occluded retinal blood vessels identification and extraction based on simple image processing techniques.

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Keywords

Central Retinal Artery Occlusion, Retinal Blood Vessel, Segmentation, Contrast Enhanced Adaptive Histogram Equalization, Green Channel.

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