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Reseach Article

Ant Based Swarm Computing for Image Classification - A Brief Survey

Published on November 2012 by Rebika Rai, Ratika Pradhan, M. K. Ghose
Computational Intelligence & Information Security
Foundation of Computer Science USA
CIIS - Number 1
November 2012
Authors: Rebika Rai, Ratika Pradhan, M. K. Ghose
fbf0b895-a706-4831-ad5e-76fe6a7e9619

Rebika Rai, Ratika Pradhan, M. K. Ghose . Ant Based Swarm Computing for Image Classification - A Brief Survey. Computational Intelligence & Information Security. CIIS, 1 (November 2012), 17-21.

@article{
author = { Rebika Rai, Ratika Pradhan, M. K. Ghose },
title = { Ant Based Swarm Computing for Image Classification - A Brief Survey },
journal = { Computational Intelligence & Information Security },
issue_date = { November 2012 },
volume = { CIIS },
number = { 1 },
month = { November },
year = { 2012 },
issn = 0975-8887,
pages = { 17-21 },
numpages = 5,
url = { /specialissues/ciis/number1/9413-1004/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Special Issue Article
%1 Computational Intelligence & Information Security
%A Rebika Rai
%A Ratika Pradhan
%A M. K. Ghose
%T Ant Based Swarm Computing for Image Classification - A Brief Survey
%J Computational Intelligence & Information Security
%@ 0975-8887
%V CIIS
%N 1
%P 17-21
%D 2012
%I International Journal of Computer Applications
Abstract

The social insect metaphor for solving problems has become an emerging topic in the recent years. This approach emphasizes on direct or indirect interactions among simple agents. Swarm Intelligence is the collective behavior of decentralized [8], self-organized [4] system whereby the collective behavior of agent interacting locally with the environment causes coherent global pattern to emerge. Classification is a computational procedure that sorts the image into groups according to their similarities [5]. Images can be similar but to measure the similarity pixel-to-pixel comparison is made. Numerous methods for classification have been developed. Exploring new methods to increase classification accuracies have been a key topic. This paper explores the swarm computing methods called Ant Colony Optimization (ACO) to classify imagery.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Ant Colony Optimization (aco) Artificial Intelligence (ai) Swarm Intelligence (si)