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Automatic Topological Active Net Division in a Genetic-Greedy Hybrid Approach

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Pattern Recognition and Image Analysis (IbPRIA 2007)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 4478))

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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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Joan Martí José Miguel Benedí Ana Maria Mendonça Joan Serrat

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Barreira, N., Penedo, M.G., Ibáñez, O., Santos, J. (2007). Automatic Topological Active Net Division in a Genetic-Greedy Hybrid Approach. In: Martí, J., Benedí, J.M., Mendonça, A.M., Serrat, J. (eds) Pattern Recognition and Image Analysis. IbPRIA 2007. Lecture Notes in Computer Science, vol 4478. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-72849-8_29

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  • DOI: https://doi.org/10.1007/978-3-540-72849-8_29

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-72848-1

  • Online ISBN: 978-3-540-72849-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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