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 Conference Publications |
| Pages | 63 |
| Number of pages | 1 |
| Edition | 520 |
| DOIs | |
| Publication status | Published - 2006 |
| Externally published | Yes |
| Event | IET 3rd International Conference MEDSIP 2006: Advances in Medical, Signal and Information Processing - Glasgow Duration: 17 Jul 2006 → 19 Jul 2006 |
Other
| Other | IET 3rd International Conference MEDSIP 2006: Advances in Medical, Signal and Information Processing |
|---|---|
| City | Glasgow |
| Period | 17/7/06 → 19/7/06 |
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Keywords
- Collective prey retrieval
- Image alignment
- Medical image registration
- Swarm intelligence
ASJC Scopus subject areas
- Electrical and Electronic Engineering
Cite this
A new Swarm Intelligence algorithm for image alignment. / Martino, Giovanni; Cardillo, F. A.; Starita, A.
IET Conference Publications. 520. ed. 2006. p. 63.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - A new Swarm Intelligence algorithm for image alignment
AU - Martino, Giovanni
AU - Cardillo, F. A.
AU - Starita, A.
PY - 2006
Y1 - 2006
N2 - 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.
AB - 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.
KW - Collective prey retrieval
KW - Image alignment
KW - Medical image registration
KW - Swarm intelligence
UR - http://www.scopus.com/inward/record.url?scp=34047133323&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=34047133323&partnerID=8YFLogxK
U2 - 10.1049/cp:20060387
DO - 10.1049/cp:20060387
M3 - Conference contribution
AN - SCOPUS:34047133323
SN - 0863416586
SN - 9780863416583
SP - 63
BT - IET Conference Publications
ER -