3-D object segmentation using ant colonies

Pattern Recognition

Volumn 43, Issue 4, 2010, Pages 1476-1490

  Cerello, Piergiorgio ^a   Christian Cheran, Sorin ^a   Bagnasco, Stefano ^a   Bellotti, Roberto ^b   Bolanos, Lourdes ^a,c   Catanzariti, Ezio ^d   De Nunzio, Giorgio ^e   Evelina Fantacci, Maria ^f   Fiorina, Elisa ^g   Gargano, Gianfranco ^b   Gemme, Gianluca ^h   López Torres, Ernesto ^c   Luca Masala, Gian ⁱ   Peroni, Cristiana ^g   Santoro, Matteo ^j  

^a SEZIONE DI TORINO   (Italy)

^b UNIVERSITY OF BARI   (Italy)

^c CENTRO DE APLICACIONES TECNOLÓGICAS Y DESARROLLO NUCLEAR CEADEN   (Cuba)

^d UNIVERSITY OF NAPLES FEDERICO II   (Italy)

^e INFN SEZIONE DI ROMA   (Italy)

^f UNIVERSITY OF PISA   (Italy)

^g UNIVERSITY OF TURIN   (Italy)

^h INFN SEZIONE DI GENOVA   (Italy)

ⁱ UNIVERSITY OF SASSARI   (Italy)

^j UNIVERSITY OF GENOA   (Italy)

more..

Author keywords

3 D object segmentation; Ant colony; Artificial life; Image processing

Indexed keywords

3-D ENVIRONMENTS; 3D OBJECT; 3D STRUCTURES; ANT COLONIES; ANT MODEL; ARTIFICIAL LIFE; ARTIFICIAL LIFE MODELS; AUTOMATED DETECTION; COMPUTED TOMOGRAPHY; EMERGENT BEHAVIOURS; IMAGE INTENSITIES; NOISE RANGE; NOISY ENVIRONMENT; SELF-ORGANIZATIONS;

ASSOCIATIVE STORAGE; CAMS; COMPUTER VISION; IMAGING SYSTEMS; TOMOGRAPHY;

THREE DIMENSIONAL;

EID: 74449084902     PISSN: 00313203     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.patcog.2009.10.007     Document Type: Article

References (26)

1. Bonabeau E., Dorigo M., and Theraulz G. Swarm Intelligence, from Natural to Artificial Systems (1999), Oxford University Press, Oxford
2. Dorigo M., Maniezzo V., and Colorni A. The ant system: optimization by a colony of cooperating agents. IEEE Transactions on Systems, Man and Cybernetics B 26 (1996) 29-41
3. 〈http://www.swarm-bots.org.〉.
4. Chialvo D., and Millonas M. How swarms build cognitive maps. The Biology and Technology of Intelligent Autonomous Agents 144 (1995) 439-450
5. Zhuang X., and Mastorakis N.E. Image processing with the artificial swarm intelligence. WSEAS Transactions on Computers 4 (2005) 333-341
6. L. Bocchi, L. Ballerini, S. Hassler, A new evolutionary algorithm for image segmentation, in: EuroGP 2005-EvoWorkshops 2005, Lecture Notes in Computer Science, Springer, Berlin, 2005, pp. 39-43.
7. A. Malisia, H. Tizhoosh, Image thresholding using ant colony optimization, in: The 3rd Canadian Conference on Computer and Robot Vision, vol. 3, 2006, p. 26.
8. Liu J., and Tang Y. Adaptive image segmentation with distributed behaviour-based agents. IEEE Transaction on Pattern Analysis and Machine Intelligence 21 (1999) 544-551
9. Wilson E.O., and Holldobler B. The Ants (1990), Harvard University Press, Cambridge, MA
10. Bellotti R., et al. Distributed medical images analysis on a grid infrastructure. Future Generation Computer Systems 23 (2007) 475-484
11. B. Van Ginneken, Automatic NOduleDEtection, in: SPIE2009 Conference, Lake Buena Vista (Orlando Area), FL, USA, 7-12 February 2009.
12. B. Van Ginneken, et al., Comparing and combining algorithms for computer-aided detection of pulmonary nodules in computed tomography scans: the ANODE09 study, Medical Image Analysis, submitted for publication.
13. 〈http://anode09.isi.uu.nl/〉.
14. Deneubourg J.-L., Aron S., Goss S., and Pasteels J.-M. The self-organizing exploratory pattern of the argentine ant. Journal of Insect Behavior 3 (1990) 159-168
15. Deneubourg J.-L., Franks N.R., Goss S., and Pasteels J.-M. The blind leading the blind: modelling chemically mediated army ant raid patterns. Journal of Insect Behavior 2 (1989) 719-725
16. Bonabeau E., Theraulz G., and Deneubourg J.-L. Quantitative study of the fixed threshold model for the regulation of division of labor in insect societies. Proceedings of the Royal Society London B 323 (1996) 1565-1569
17. Deneubourg J.-L., Goss S., Sendova-Franks A., Detrain C., and Chretien L. The dynamics of collective sorting: robot-like ant and ant-like robot. Proceedings First Conference on Simulation of Adaptive Behavior vol. 1 (1991), MIT Press, Cambridge, MA 356-365
18. P.-P. Grasse, Termitologia, Tome II. Fondation des Societes. Construction, Masson, Paris, 1959.
19. V. Ramos, F. Almeida, Artificial ant colonies in digital image habitats-a mass behaviour effect study on pattern recognition, in: Proceedings of ANTS 2000-2nd International Workshop on Ant Algorithms (From Ant Colonies to Artificial Ants), Belgium, 2000, pp. 39-43.
20. V. Ramos, C. Fernandes, A.C. Rosa, Self-regulated artificial ant colonies on digital image habitats, in: Proceedings of the ICANN'05: 15th International Conference, Lecture Notes in Computer Science, vol. 3696, Springer, Berlin, 2005, pp. 311-316.
21. V. Ramos, C. Fernandes, A.C. Rosa, Varying the population size of artificial forging swarms on time varying landscapes, in: Proceedings of the ICANN'05: 15th International Conference, Lecture Notes in Computer Science, vol. 3696, Springer, Berlin, 2005, pp. 311-316.
22. Meyer F. Skeletons and perceptual graphs. Signal Processing 16 (1989) 335-363
23. P. Khajehpour, C. Lucas, B. Araabi, Hierarchical image segmentation using ant colony and chemical computing approach, in: Advances in Natural Computation, vol. 3611, Springer, Berlin, 2005, p. 1250.
24. George C., and Wolfer J. A swarm intelligence approach to counting stacked symmetric objects. Artificial Intelligence and Applications (2006), Acta Press, Austria
25. E.F. Moore, Gedanken experiments on sequential machines, Automata Studies, 1956.
26. Bellotti R., et al. A CAD system for nodule detection in low-dose lung CTs based on region growing and a new active contour model. Medical Physics 34 12 (2007) 4901-4910