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Automated Segmentation of Retinal Blood Vessels using Optimized Gabor Filter with Local Entropy Thresholding

by Saumitra Kumar Kuri, Jayant V. Kulkarni
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 114 - Number 11
Year of Publication: 2015
Authors: Saumitra Kumar Kuri, Jayant V. Kulkarni
10.5120/20026-2112

Saumitra Kumar Kuri, Jayant V. Kulkarni . Automated Segmentation of Retinal Blood Vessels using Optimized Gabor Filter with Local Entropy Thresholding. International Journal of Computer Applications. 114, 11 ( March 2015), 37-42. DOI=10.5120/20026-2112

@article{ 10.5120/20026-2112,
author = { Saumitra Kumar Kuri, Jayant V. Kulkarni },
title = { Automated Segmentation of Retinal Blood Vessels using Optimized Gabor Filter with Local Entropy Thresholding },
journal = { International Journal of Computer Applications },
issue_date = { March 2015 },
volume = { 114 },
number = { 11 },
month = { March },
year = { 2015 },
issn = { 0975-8887 },
pages = { 37-42 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume114/number11/20026-2112/ },
doi = { 10.5120/20026-2112 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:52:31.757736+05:30
%A Saumitra Kumar Kuri
%A Jayant V. Kulkarni
%T Automated Segmentation of Retinal Blood Vessels using Optimized Gabor Filter with Local Entropy Thresholding
%J International Journal of Computer Applications
%@ 0975-8887
%V 114
%N 11
%P 37-42
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Blood vessel in retinal image plays a vital role in medical diagnosis of many diseases. Diabetic retinopathy is one of the diseases which damages the retina and leads to blindness. Segmentation of blood vessels is helpful for ophthalmologists and this paper presents a new automatic method to extract blood vessels with high accuracy. This algorithm is comprised of optimized Gabor filter with local entropy thresholding for vessels segmentation under various normal or abnormal conditions. The frequency and orientation of Gabor filter are tuned to match that of a part of blood vessels to be enhanced in a green channel image. Segmentation of blood vessels pixels are classified by local entropy thresholding technique in this method. The performance of the proposed algorithm is evaluated by MATLAB software with DRIVE database.

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Index Terms

Computer Science
Information Sciences

Keywords

Retinal image Blood vessels Diabetic retinopathy Optimized Gabor filter Local entropy thresholding

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