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Reseach Article

Image Edge Detection using Modified Ant Colony Optimization Algorithm based on Weighted Heuristics

by Puneet Rai, Maitreyee Dutta
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 68 - Number 15
Year of Publication: 2013
Authors: Puneet Rai, Maitreyee Dutta
10.5120/11653-7158

Puneet Rai, Maitreyee Dutta . Image Edge Detection using Modified Ant Colony Optimization Algorithm based on Weighted Heuristics. International Journal of Computer Applications. 68, 15 ( April 2013), 5-9. DOI=10.5120/11653-7158

@article{ 10.5120/11653-7158,
author = { Puneet Rai, Maitreyee Dutta },
title = { Image Edge Detection using Modified Ant Colony Optimization Algorithm based on Weighted Heuristics },
journal = { International Journal of Computer Applications },
issue_date = { April 2013 },
volume = { 68 },
number = { 15 },
month = { April },
year = { 2013 },
issn = { 0975-8887 },
pages = { 5-9 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume68/number15/11653-7158/ },
doi = { 10.5120/11653-7158 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:29:01.007924+05:30
%A Puneet Rai
%A Maitreyee Dutta
%T Image Edge Detection using Modified Ant Colony Optimization Algorithm based on Weighted Heuristics
%J International Journal of Computer Applications
%@ 0975-8887
%V 68
%N 15
%P 5-9
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Ant Colony Optimization (ACO) is nature inspired algorithm based on foraging behavior of ants. The algorithm is based on the fact how ants deposit pheromone while searching for food. ACO generates a pheromone matrix which gives the edge information present at each pixel position of image, formed by ants dispatched on image. The movement of ants depends on local variance of image's intensity value. This paper proposes an improved method based on heuristic which assigns weight to the neighborhood. Experimental results are provided to support the superior performance of the proposed approach.

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Index Terms

Computer Science
Information Sciences

Keywords

Ant Colony Optimization Weighted Heuristics Edge Detection Pheromone