A pixel processing approach for retinal vessel extraction using modified Gabor functions

Pathan, Sameena and Siddalingaswamy, PC and Prabhu, G K (2017) A pixel processing approach for retinal vessel extraction using modified Gabor functions. Progress in Artificial Intelligence. ISSN 2192-6352

[img] PDF
3475.pdf - Published Version
Restricted to Registered users only

Download (4MB) | Request a copy


Computerized image analysis methods for retinal imaging are primarily of great interest and benefit as it provides significant information about the retinal vessels. Retinal image analysis techniques can be of pertinence for ophthalmologists and a stand-alone warning implement for determining the retinal disorders. This requires dedicated image processing algorithms to provide mathematical description about the region of interest. This paper presents an automated pixel processing-based retinal vessel extraction algorithm using modified Gabor functions and morphological operators. Color normalization is performed to make the algorithm adaptable to intra- and inter-image variabilities. Furthermore, the enhanced retinal vessels are subjected to automatic thresholding for vessel pixel classification. The proposed method is tested on a set of retinal images collectedfrom the DRIVE database and subjected to robust performance analysis to evaluate the efficacy. The proposed algorithm achieved an average accuracy of 97.22%, sensitivityof 85.12% and specificity of 98.57%, which is comparablypreferable t the well-known algorithms

Item Type: Article
Uncontrolled Keywords: Gabor filter · GLCM · Morphology · Optic disk Vessel extraction
Subjects: Engineering > MIT Manipal > Biomedical
Engineering > MIT Manipal > Computer Science and Engineering
Depositing User: MIT Library
Date Deposited: 24 Nov 2017 06:10
Last Modified: 24 Nov 2017 06:10
URI: http://eprints.manipal.edu/id/eprint/150060

Actions (login required)

View Item View Item