Automated Detection of Diabetic Retinopathy through Blood Vessel and Micro-aneurysms
DOI:
https://doi.org/10.26438/ijcse/v6i2.168175Keywords:
blood vessel, micro-aneurysms, fundus, hemorrhageAbstract
Vision is the way we access, appreciate and interpret the world. Diabetic retinopathy is one of the common diseases which if remain undetected; causes blindness. Micro aneurysm is the first visible sign of Diabetic retinopathy; which appears like a tiny blood droplet on retinal fundus images. The bunches of Micro aneurysms may be examined to indicate the severity of the disease. The incidence of blindness caused by diabetes mellitus reduces by the early detection of MAs. This paper presents a novel approach for the automated detection of DR from fundus images using blood vessel perimeter measurement and Micro aneurysms count. The suggested method correctly identifies Micro aneurism even in poor quality image.
References
Sujith Kumar S B* “ Automatic Detection of Diabetic Retinopathy in Non-dilated RGB Retinal Fundus Images” ,International Journal of Computer Applications (0975 – 888) Volume 47–No.19, June 2012.
Jyotiprava Dash” A Survey on Blood Vessel detection Methodologies in Retinal Images”, 2015 International Conference on Computational Intelligence & Networks, pp 166-171.
Surbhi Sangwan,Vishal Sharma,and Misha Kakkar,” Identification of different stages of diabetic retinopathy”, International Conference on Computer and Computational Sciences (ICCCS),pp.232-237,2015.
www.who.int/mediacentre/factsheets/fs312/en/
Jiri Minar, Marek Pinkava, Kamil Riha“Automatic Extraction of Blood Vessels and Veins using Laplace Operator in Fundus Image”.
N.S Dutta, P. Saha, H. S. Dutta, D. Sarkar “A New Contrast Enhancement Method of RetinalImages in Diabetic Screening System”, 2015 IEEE 2nd International Conference on Recent Trends in Information Systems (ReTIS),pp 255-260 .
Manjiri B. Patwari, Ramesh R., Yogesh M. Rajput, ” Automatic Detection of Retinal Venous Beading and Tortuosity by using Image processing Techniques”, International Journal of Computer Applications (0975 – 8887) Recent Advances in Information Technology, 2014, pp 27-32.
Sandra Morales, Valery Naranjo, Amparo Navea, and Mariano Alca˜niz, ” Computer-Aided Diagnosis Software for Hypertensive Risk DeterminationThrough Fundus Image Processing”,pp 1757-1763.
Tsuyoshi Inoue, Yuji Hatanaka, Susumu Okumura, “Automated Microaneurysm Detection Method Based on Eigenvalue Analysis Using Hessian Matrix in Retinal Fundus Images”, 35th Annual International Conference of the IEEE EMBS Osaka, Japan, 3 - 7 July, 2013,pp5873-5876.
Dr. Pradeep Nijalingappa, Sandeep B. “Machine Learning Approach for the Identification of Diabetes Retinopathy and its Stages”, 2015 International Conference on Applied and Theoretical Computing and Communication Technology pp653-658.
Akara Sopharak “.Automatic Microaneurysms Detection from Non-dilated Diabetic Retinopathy Retinal Images Using Mathematical Morphology Methods”, IAENG International Journal of Computer Science.
S.Chaudhuri, S.Chatterjee, N.Katz, N.Nelson and M.Goldbaum, ”Detection of blood vessels in retinal images using two-dimensional matched filter”, IEEE trans medical imaging,vol.8, no.3,pp.263-269,1989
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