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Extraction of the Retinal Blood Vessels and Detection of the Bifurcation Points

by Manjiri B. Patwari, Ramesh R. Manza, Yogesh M. Rajput, Neha K. Deshpande, Manoj Saswade
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 77 - Number 2
Year of Publication: 2013
Authors: Manjiri B. Patwari, Ramesh R. Manza, Yogesh M. Rajput, Neha K. Deshpande, Manoj Saswade
10.5120/13367-0967

Manjiri B. Patwari, Ramesh R. Manza, Yogesh M. Rajput, Neha K. Deshpande, Manoj Saswade . Extraction of the Retinal Blood Vessels and Detection of the Bifurcation Points. International Journal of Computer Applications. 77, 2 ( September 2013), 29-34. DOI=10.5120/13367-0967

@article{ 10.5120/13367-0967,
author = { Manjiri B. Patwari, Ramesh R. Manza, Yogesh M. Rajput, Neha K. Deshpande, Manoj Saswade },
title = { Extraction of the Retinal Blood Vessels and Detection of the Bifurcation Points },
journal = { International Journal of Computer Applications },
issue_date = { September 2013 },
volume = { 77 },
number = { 2 },
month = { September },
year = { 2013 },
issn = { 0975-8887 },
pages = { 29-34 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume77/number2/13367-0967/ },
doi = { 10.5120/13367-0967 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:49:13.462138+05:30
%A Manjiri B. Patwari
%A Ramesh R. Manza
%A Yogesh M. Rajput
%A Neha K. Deshpande
%A Manoj Saswade
%T Extraction of the Retinal Blood Vessels and Detection of the Bifurcation Points
%J International Journal of Computer Applications
%@ 0975-8887
%V 77
%N 2
%P 29-34
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The changes in retinal blood vessels Structure and progression of diseases such as diabetes, hypertension and retinopathy of prematurity (ROP) has been the subject of several large scale clinical studies. Proposed algorithm for the detection and measurement of blood vessels of the retina and finding the bifurcation points of blood vessels is general enough that it can be applied to high resolution fundus photographs. The algorithm proceeds through three main steps 1. Preprocessing operations on high resolution fundus images 2. For retinal vessel extraction, simple vessel segmentation techniques formulated in the language of 2D Median Filter 3. Minutiae techniques for finding bifurcation points of the extracted blood vessels. Performance of this algorithm is tested using the fundus image database ( 240 images) taken from Dr. Manoj Saswade, Dr. Neha Deshpande and online available databases diaretdb0, diaretdb1 and DRIVE. This algorithm achieves accuracy of 96% with 0. 92 sensitivity and 0 specificity for Saswade database , for diaretdb0 accuracy 95% with 0. 95 sensitivity and 0 specificity, for diaretdb1 accuracy 96% with 0. 96 sensitivity and 0 specificity, and for DRIVE database 98% accuracy with 0. 98 sensitivity and 0 specificity.

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Index Terms

Computer Science
Information Sciences

Keywords

Blood Vessels Bifurcation Points 2D Median Filter.

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