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Autores
  • Barreira, Noelia
  • Penedo, Manuel G.
  • Ibáńez Panizo, Óscar
  • Santos, José
Categoria WoS
Area
Titulo: Automatic Topological Active Net Division in a Genetic-Greedy Hybrid Approach
Tipo: revista internacional
Fecha: 6,2007
Revista: Lecture Notes in Computer Science. Pattern Recognition and Image Analysis
JCR Journal; Impact Factor: 0.402
SCIMago SJR:
Volumen: 4478
Paginas: 226-233
ISSN: 0302-9743
Editorial: Springer-Verlag
Heidelberg, Alemania

Abstract:

In this paper we propose an automatic division procedure for the Topological Active Net model in a hybrid combination of a genetic and a greedy algorithm. This procedure allows the division of the active net in subnets with the aim of segmenting several objects in the same image. The combination of the greedy algorithm and the global search improves the results in both synthetic and real images
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