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Digital Image Edge Detection using Enhanced Ant Colony Optimization Technique

by Jeetu Singh, Ankit Vidyarthi
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 67 - Number 16
Year of Publication: 2013
Authors: Jeetu Singh, Ankit Vidyarthi
10.5120/11479-7078

Jeetu Singh, Ankit Vidyarthi . Digital Image Edge Detection using Enhanced Ant Colony Optimization Technique. International Journal of Computer Applications. 67, 16 ( April 2013), 21-24. DOI=10.5120/11479-7078

@article{ 10.5120/11479-7078,
author = { Jeetu Singh, Ankit Vidyarthi },
title = { Digital Image Edge Detection using Enhanced Ant Colony Optimization Technique },
journal = { International Journal of Computer Applications },
issue_date = { April 2013 },
volume = { 67 },
number = { 16 },
month = { April },
year = { 2013 },
issn = { 0975-8887 },
pages = { 21-24 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume67/number16/11479-7078/ },
doi = { 10.5120/11479-7078 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:25:01.082267+05:30
%A Jeetu Singh
%A Ankit Vidyarthi
%T Digital Image Edge Detection using Enhanced Ant Colony Optimization Technique
%J International Journal of Computer Applications
%@ 0975-8887
%V 67
%N 16
%P 21-24
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The detection of the edge is one of the important part in the field of Image Processing. In this paper we proposed an improved ACO algorithm for digital images edge classification. The classification is basically done as per the natural phenomenon of the movement of ants for searching paths. We have proposed a new modified ACO algorithm for better visual effects and compared the experimental results with previous standard one.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Ant colony optimization Edge Detection

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