Title :
Ant Colonies for the reconstruction of artificial 3D Objects
Author :
Cerello, P. ; Cheran, S.C. ; Gargano, G. ; Bellotti, Roberto ; De F., D. ; Tangaro, Sabina ; Fulcheri, C. ; E, L.T. ; Tommasi, E.
Author_Institution :
Istituto Nazionale di Fisica Nucleare, Turin
Abstract :
Ant Colony Models are artificial simulations of real ant colonies [1], [2]. The way real ants behave in nature inspire cooperation and competition strategies for virtual agent: the emergence of intelligent behavior and swarm-based self- organization can be used to solve difficult problems. In this work an Ant Colony Model for 3D objects reconstruction is presented. The accuracy in reconstructing 3D object is tested on artificial 3D objects and on 10 real Computed Tomography (CT) images of human lungs.
Keywords :
biology computing; computerised tomography; image reconstruction; lung; medical image processing; multi-agent systems; ant colony models; artificial 3D object reconstruction; computed tomography images; human lungs; swarm-based self-organization; virtual agent; Artificial intelligence; Competitive intelligence; Computational intelligence; Computed tomography; Humans; Image reconstruction; Intelligent agent; Lungs; Particle swarm optimization; Testing; 3-D Objects Reconstruction; Ants Colony; Artificial Life Model; Chest Computed Tomography;
Conference_Titel :
Computational Intelligence for Measurement Systems and Applications, 2007. CIMSA 2007. IEEE International Conference on
Conference_Location :
Ostuni
Print_ISBN :
978-1-4244-0824-5
Electronic_ISBN :
978-1-4244-0824-5
DOI :
10.1109/CIMSA.2007.4362536
