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Multilevel Segmentation of Fundus Images using Dragonfly Optimization

by S. Rakoth Kandan, J. Sasikala
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 164 - Number 4
Year of Publication: 2017
Authors: S. Rakoth Kandan, J. Sasikala
10.5120/ijca2017913616

S. Rakoth Kandan, J. Sasikala . Multilevel Segmentation of Fundus Images using Dragonfly Optimization. International Journal of Computer Applications. 164, 4 ( Apr 2017), 28-32. DOI=10.5120/ijca2017913616

@article{ 10.5120/ijca2017913616,
author = { S. Rakoth Kandan, J. Sasikala },
title = { Multilevel Segmentation of Fundus Images using Dragonfly Optimization },
journal = { International Journal of Computer Applications },
issue_date = { Apr 2017 },
volume = { 164 },
number = { 4 },
month = { Apr },
year = { 2017 },
issn = { 0975-8887 },
pages = { 28-32 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume164/number4/27472-2017913616/ },
doi = { 10.5120/ijca2017913616 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T00:10:22.561854+05:30
%A S. Rakoth Kandan
%A J. Sasikala
%T Multilevel Segmentation of Fundus Images using Dragonfly Optimization
%J International Journal of Computer Applications
%@ 0975-8887
%V 164
%N 4
%P 28-32
%D 2017
%I Foundation of Computer Science (FCS), NY, USA
Abstract

This paper presents a self adaptive dragonfly optimization (DFO) based methodology for performing multilevel segmentation of colour fundus images. The multilevel segmentation problem is formulated as an optimization problem and solved using the DFO. The method optimizes the threshold values for each of the three chromatic channels of colour fundus images through effectively exploring the solution space in obtaining the global best solution. The results of two fundus images illustrate the performance of the developed method.

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Index Terms

Computer Science
Information Sciences

Keywords

fundus images multilevel segmentation.

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