research-article

Image classification using biologically inspired systems

Authors:

Krishna Chandramouli,

Ebroul IzquierdoAuthors Info & Claims

MobiMedia '06: Proceedings of the 2nd international conference on Mobile multimedia communications

Article No.: 28, Pages 1 - 5

https://doi.org/10.1145/1374296.1374326

Published: 18 September 2006 Publication History

Abstract

In this paper the problem of the image classification based on biologically inspired optimization systems is addressed. Recent developments in applied and heuristic optimization have been strongly influenced and inspired by natural and biological system. The findings of recent studies are showing strong evidence to the fact that some aspects of the collaborative behavior of social animals such as ants and birds can be applied to solve specific problems in science and engineering. Two algorithms based on this paradigm Ant Colony Optimization and Particle Swarm Optimization are investigated in this paper. The comparative evaluation of the recently developed techniques by the authors for optimizing the COP-K-means and the Self Organizing Feature Maps for the application of Binary Image Classification is presented. The precision and retrieval results are used as the metrics of comparison for both classifiers.

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K. Chandramouli, E. Izquierdo, "Image Classification using "Self Organizing Feature Maps and Particle Swarm Optimization", 7^th Internaltional Workshop on Image Analysis for Multimedia Interactive Services (WIAMIS 2006), pp. 313--316, April 2006

Cited By

Abd-Alsabour N(2015)Binary Ant Colony Optimization for Subset ProblemsMulti-objective Swarm Intelligence10.1007/978-3-662-46309-3_4(105-121)Online publication date: 11-Mar-2015
https://doi.org/10.1007/978-3-662-46309-3_4
Abd-Alsabour N(2014)A Review on Evolutionary Feature SelectionProceedings of the 2014 European Modelling Symposium10.1109/EMS.2014.28(20-26)Online publication date: 21-Oct-2014
https://dl.acm.org/doi/10.1109/EMS.2014.28
Atyabi ALuerssen MFitzgibbon SPowers D(2013)The Use of Evolutionary Algorithm-Based Methods in EEG Based BCI SystemsSwarm Intelligence for Electric and Electronic Engineering10.4018/978-1-4666-2666-9.ch016(326-344)Online publication date: 2013
https://doi.org/10.4018/978-1-4666-2666-9.ch016
Show More Cited By

Index Terms

Image classification using biologically inspired systems
1. Computing methodologies
  1. Machine learning

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cover image ACM Other conferences

MobiMedia '06: Proceedings of the 2nd international conference on Mobile multimedia communications

September 2006

281 pages

ISBN:1595935177

DOI:10.1145/1374296

Copyright © 2006 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 18 September 2006

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Cited By

Abd-Alsabour N(2015)Binary Ant Colony Optimization for Subset ProblemsMulti-objective Swarm Intelligence10.1007/978-3-662-46309-3_4(105-121)Online publication date: 11-Mar-2015
https://doi.org/10.1007/978-3-662-46309-3_4
Abd-Alsabour N(2014)A Review on Evolutionary Feature SelectionProceedings of the 2014 European Modelling Symposium10.1109/EMS.2014.28(20-26)Online publication date: 21-Oct-2014
https://dl.acm.org/doi/10.1109/EMS.2014.28
Atyabi ALuerssen MFitzgibbon SPowers D(2013)The Use of Evolutionary Algorithm-Based Methods in EEG Based BCI SystemsSwarm Intelligence for Electric and Electronic Engineering10.4018/978-1-4666-2666-9.ch016(326-344)Online publication date: 2013
https://doi.org/10.4018/978-1-4666-2666-9.ch016
Broilo MDe Natale F(2012)Use of Stochastic Optimization Algorithms in Image Retrieval ProblemsComputational Intelligence in Image Processing10.1007/978-3-642-30621-1_11(201-215)Online publication date: 11-Aug-2012
https://doi.org/10.1007/978-3-642-30621-1_11
Tsai CLiao MYang CChiang M(2011)Classification algorithms for interactive multimedia services: a reviewMultimedia Tools and Applications10.1007/s11042-011-0957-067:1(137-165)Online publication date: 30-Dec-2011
https://doi.org/10.1007/s11042-011-0957-0
Wahid N(2011)A Novel Image Classification Algorithm Using Swarm-Based Technique for Image DatabaseUbiquitous Computing and Multimedia Applications10.1007/978-3-642-20998-7_56(460-470)Online publication date: 2011
https://doi.org/10.1007/978-3-642-20998-7_56

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