3-D object segmentation is an important and chal-lenging topic in computer vision that could be tackled with artificial life models. A Channeler Ant Model (CAM), based on the natural ant capabilities of dealing with 3-D environments through self-organization and emergent behaviours, is proposed. Ant colonies, defined in terms of moving, pheromone laying, reproduction, death and deviating behaviours rules, is able to segment artificially generated objects of different shape, intensity, background. The model depends on few parameters and provides an elegant solution for the segmentation of 3-D structures in noisy environments with unknown range of image intensities: even when there is a partial overlap between the intensity and noise range, it provides a complete segmentation with negligible contamination (i.e., fraction of segmented voxels that do not belong to the object). ©2008 IEEE.

The channeler ant model: Object segmentation with virtual ant colonies

FIORINA, ELISA;PERONI, Cristiana;
2008

Abstract

3-D object segmentation is an important and chal-lenging topic in computer vision that could be tackled with artificial life models. A Channeler Ant Model (CAM), based on the natural ant capabilities of dealing with 3-D environments through self-organization and emergent behaviours, is proposed. Ant colonies, defined in terms of moving, pheromone laying, reproduction, death and deviating behaviours rules, is able to segment artificially generated objects of different shape, intensity, background. The model depends on few parameters and provides an elegant solution for the segmentation of 3-D structures in noisy environments with unknown range of image intensities: even when there is a partial overlap between the intensity and noise range, it provides a complete segmentation with negligible contamination (i.e., fraction of segmented voxels that do not belong to the object). ©2008 IEEE.
Nuclear Science Symposium Conference Record, 2008. NSS '08. IEEE
Dresden, (D)
2008
Nuclear Science Symposium Conference Record, 2008. NSS '08. IEEE
IEEE
3147
3152
9781424427147
http://www.scopus.com/inward/record.url?eid=2-s2.0-67649220581&partnerID=40&md5=6e7493204ffff19d620bb06ca377d8b5
Cerello, Piergiorgio; Cheran, Sorin Christian; Bagagli, Francesco; Bagnasco, Stefano; Bellotti, Roberto; Bolanos, Lourdes; Catanzariti, Ezio; De Nunzio, Giorgio; Fiorina, Elisa; Gargano, Gianfranco; Gemme, Gianluca; Lopez Torres, Ernesto; Masala, Gian Luca; Peroni, Cristiana; Santoro, Matteo;
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/2318/84272
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