Abstract
The Topological Active Volumes is an active model focused on 3D segmentation tasks. It is based on the 2D Topological Active Nets model and provides information about the surfaces and the inside of the detected objects in the scene. This paper proposes new optimization approaches based on Genetic Algorithms combined with a greedy local search that improve the results of the 3D segmentations and overcome some drawbacks of the model related to parameter tuning or noise conditions. The hybridization of the genetic algorithm with the local search allows the treatment of topological changes in the model, with the possibility of an automatic subdivision of the Topological Active Volume. This combination integrates the advantages of the global and local search procedures in the segmentation process.
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References
Tsumiyama, K.S.Y., Yamamoto, K.: Active net: Active net model for region extraction. IPSJ SIG. notes 89(96), 1–8 (1989)
Kass, M., Witkin, A., Terzopoulos, D.: Snakes: Active contour models. International Journal of Computer Vision 1(2), 321–323 (1988)
Barreira, N., Penedo, M.G.: Topological Active Volumes. EURASIP Journal on Applied Signal Processing 13(1), 1937–1947 (2005)
Ballerini, L.: Medical image segmentation using genetic snakes. In: Proceedings of SPIE: Application and Science of Neural Networks, Fuzzy Systems, and Evolutionary Computation II, vol. 3812, pp. 13–23 (1999)
Séguier, R., Cladel, N.: Genetic snakes: Application on lipreading. In: International Conference on Artificial Neural Networks and Genetic Algorithms (2003)
Ibáñez, O., Barreira, N., Santos, J., Penedo, M.G.: Genetic approaches for topological active nets optimization. Pattern Recognition 42, 907–917 (2009)
Jones, T.N., Metaxas, D.N.: Automated 3D segmentation using deformable models and fuzzy affinity. In: Duncan, J.S., Gindi, G. (eds.) IPMI 1997. LNCS, vol. 1230, pp. 113–126. Springer, Heidelberg (1997)
Qiu, B., Clarysse, P., Montagnat, J., Janier, M., Vray, D.: Comparison of 3D deformable models for in vivo measurements of mouse embryo from 3D ultrasound images. In: Ultrasonics Symposium, 2004, vol. 1, pp. 748–751. IEEE, Los Alamitos (2004)
McInerney, T., Terzopoulos, D.: Topology adaptive deformable surfaces for medical image volume segmentation. IEEE Transactions on Medical Imaging 18(10), 840–850 (1999)
Bro-Nielsen, M.: Active nets and cubes. Technical Report 13, IMM, Technical University of Denmark (1994)
Bro-Nielsen, M.: Modelling elasticity in solids using active cubes - application to simulated operations. In: Ayache, N. (ed.) CVRMed 1995. LNCS, vol. 905, pp. 533–541. Springer, Heidelberg (1995)
Novo, J., Barreira, N., Santos, J., Penedo, M.G.: Topological active volumes optimization with genetic approaches. In: XII Conference of the Spanish Association for the Artificial Intelligence, vol. 2, pp. 41–50 (2007)
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Novo, J., Barreira, N., Penedo, M.G., Santos, J. (2009). Genetic Approaches for the Automatic Division of Topological Active Volumes. In: Mira, J., Ferrández, J.M., Álvarez, J.R., de la Paz, F., Toledo, F.J. (eds) Bioinspired Applications in Artificial and Natural Computation. IWINAC 2009. Lecture Notes in Computer Science, vol 5602. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-02267-8_3
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DOI: https://doi.org/10.1007/978-3-642-02267-8_3
Publisher Name: Springer, Berlin, Heidelberg
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