Research Article
Digital Image Edge Detection using Enhanced Ant Colony Optimization Technique
|
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
|
| Volume 67 - Issue 16 |
| Published: April 2013 |
| Authors: Jeetu Singh, Ankit Vidyarthi |
10.5120/11479-7078
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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 },
year = { 2013 },
volume = { 67 },
number = { 16 },
pages = { 21-24 },
doi = { 10.5120/11479-7078 },
publisher = { Foundation of Computer Science (FCS), NY, USA }
}
%0 Journal Article
%D 2013
%A Jeetu Singh
%A Ankit Vidyarthi
%T Digital Image Edge Detection using Enhanced Ant Colony Optimization Technique%T
%J International Journal of Computer Applications
%V 67
%N 16
%P 21-24
%R 10.5120/11479-7078
%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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