Please use this identifier to cite or link to this item: http://hdl.handle.net/123456789/1236
Title: An effective algorithm for automatic measurement of vessel calibre in retinal fundus images
Authors: Kaur J
Kaur N
Acharyya M
Kapoor N
Chatterjee S
Gupta S.
Keywords: Crossover points
Ophthalmology
Retinal blood vessel bifurcation points
Vessel calibre vessel width
Vessel segmentation
Issue Date: 2017
Publisher: Institute of Electrical and Electronics Engineers Inc.
Abstract: Different pathologies like diabetic retinopathy, hypertension, arteriosclerosis, age related macular degeneration, occlusion, neovascularization etc. leads to various changes in retinal vasculature. Hence, analysis of retinal vasculature helps in diagnose and screening of eye fundus. This paper presents an effective algorithm for automatic measurement of vessel calibre of retinal blood vessels from the colored fundus images. Retinal blood vessels are extracted using multi-scale line tracking technique. Vessel Calibre is measured for the extracted vessels in pixels. The proposed algorithm is validated on online available REVIEW dataset. Our results are very similar to the results given by observers which show high accuracy of our algorithm. � 2016 IEEE.
URI: 10.1109/WECON.2016.7993466
http://hdl.handle.net/123456789/1236
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