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Computational and Mathematical Methods in Medicine
Volume 2015 (2015), Article ID 419279, 12 pages
http://dx.doi.org/10.1155/2015/419279
Research Article

Automatic Detection of Blood Vessels in Retinal Images for Diabetic Retinopathy Diagnosis

1Department of ECE, SACS MAVMM Engineering College, Madurai, Tamil Nadu 625 301, India
2Department of ECE, Velammal College of Engineering and Technology, Madurai, Tamil Nadu 625 009, India

Received 7 September 2014; Revised 14 November 2014; Accepted 8 December 2014

Academic Editor: William Crum

Copyright © 2015 D. Siva Sundhara Raja and S. Vasuki. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

Diabetic retinopathy (DR) is a leading cause of vision loss in diabetic patients. DR is mainly caused due to the damage of retinal blood vessels in the diabetic patients. It is essential to detect and segment the retinal blood vessels for DR detection and diagnosis, which prevents earlier vision loss in diabetic patients. The computer aided automatic detection and segmentation of blood vessels through the elimination of optic disc (OD) region in retina are proposed in this paper. The OD region is segmented using anisotropic diffusion filter and subsequentially the retinal blood vessels are detected using mathematical binary morphological operations. The proposed methodology is tested on two different publicly available datasets and achieved 93.99% sensitivity, 98.37% specificity, 98.08% accuracy in DRIVE dataset and 93.6% sensitivity, 98.96% specificity, and 95.94% accuracy in STARE dataset, respectively.