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  • Ibáñez Panizo, Óscar
  • Barreira, Noelia
  • Santos, José
  • Penedo, Manuel G.
Categoria WoS
  • Genetic Algorithms
Titulo: Topological active nets optimization using genetic algorithms
Tipo: revista nacional
Fecha: 9,2006
Revista: LNCS. Image Análisis and Recognition
Volumen: LNCS 4141
Paginas: 272-282
ISSN: 0302-9743
Editorial: Springer-Verlag
Povoa de Varzim (Portugal)


The Topological Active Net (TAN) model is a deformable model used for image segmentation. It integrates features of region–based and edge–based segmentation techniques. This way, the model is able to fit the edges of the objects and model their inner topology. The model consists of a two dimensional mesh controlled by energy functions. The minimization of these energy functions leads to the TAN adjustment. This paper presents a new approach to the energy minimization process based on genetic algorithms (GA), that defines several suitable genetic operators for the optimization task. The results of the new GA approach are compared to the results of a greedy algorithm developed for the same task.

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