A new Swarm Intelligence algorithm for image alignment

G. Da San Martino, F. A. Cardillo, A. Starita

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

Swarm Intelligence is the emergent collective intelligence of groups composed of simple and quasi-independent agents. Algorithms following this paradigm show many desirable properties: flexibility, decentralized control, robustness, fault tolerance. This paper presents a new agent coordination model loosely inspired by the way some species of ants collectively transport large preys. The model is used to build a Swarm Intelligence algorithm for the problem of image alignment. The novelty of the approach and its effectiveness are discussed.

Original languageEnglish
Title of host publicationIET 3rd International Conference MEDSIP 2006
Subtitle of host publicationAdvances in Medical, Signal and Information Processing
Number of pages1
Edition520
DOIs
Publication statusPublished - 1 Dec 2006
EventIET 3rd International Conference MEDSIP 2006: Advances in Medical, Signal and Information Processing - Glasgow, United Kingdom
Duration: 17 Jul 200619 Jul 2006

Publication series

NameIET Conference Publications
Number520

Conference

ConferenceIET 3rd International Conference MEDSIP 2006: Advances in Medical, Signal and Information Processing
CountryUnited Kingdom
CityGlasgow
Period17/7/0619/7/06

Keywords

  • Collective prey retrieval
  • Image alignment
  • Medical image registration
  • Swarm intelligence

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

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  • Cite this

    Da San Martino, G., Cardillo, F. A., & Starita, A. (2006). A new Swarm Intelligence algorithm for image alignment. In IET 3rd International Conference MEDSIP 2006: Advances in Medical, Signal and Information Processing (520 ed.). (IET Conference Publications; No. 520). https://doi.org/10.1049/cp:20060387