Automatic Detection of Retinal Blood Vessels using Spatial Gabor Filters and Fuzzy C means Clustering

Pai, Vidya and Grantha, K N and Siddalingaswamy, PC (2014) Automatic Detection of Retinal Blood Vessels using Spatial Gabor Filters and Fuzzy C means Clustering. In: Proceedings of International Conference on Communication and Computing (ICC ’2014) , June 12th to 14th 2014 , Bengaluru, India .

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Abstract

In ophthalmic images, retinal blood vessels are one of the significant anatomical structures. Automatic segmentation of retinal vasculature is important for the early detection of Diabetic Retinopathy (DR). In this paper, a two stage method for efficient segmentation of multi-oriented blood vessels in colour retinal images is proposed. Initially, spatial Gabor filters are used to enhance blood vessels followed by Fuzzy C means clustering for the fine segmentation of vessels. Performance of this method is evaluated on retinal images from DRIVE database. An overall sensitivity of 82 % and specificity of 89% is achieved for the segmentation of blood vessels.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: Blood Vessels, Diabetic retinopathy, Gabor filter, Fuzzy C means, Retina
Subjects: Engineering > MIT Manipal > Computer Science and Engineering
Depositing User: MIT Library
Date Deposited: 16 Jan 2015 11:23
Last Modified: 08 Feb 2017 14:19
URI: http://eprints.manipal.edu/id/eprint/141619

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