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 language | English |
|---|---|
| Title of host publication | IET 3rd International Conference MEDSIP 2006 |
| Subtitle of host publication | Advances in Medical, Signal and Information Processing |
| Number of pages | 1 |
| Edition | 520 |
| DOIs | |
| Publication status | Published - 1 Dec 2006 |
| Event | IET 3rd International Conference MEDSIP 2006: Advances in Medical, Signal and Information Processing - Glasgow, United Kingdom Duration: 17 Jul 2006 → 19 Jul 2006 |
Publication series
| Name | IET Conference Publications |
|---|---|
| Number | 520 |
Conference
| Conference | IET 3rd International Conference MEDSIP 2006: Advances in Medical, Signal and Information Processing |
|---|---|
| Country | United Kingdom |
| City | Glasgow |
| Period | 17/7/06 → 19/7/06 |
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