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  • Source: IEEE Transactions on Pattern Analysis and Machine Intelligence. Unidade: ICMC

    Subjects: PROCESSAMENTO DE IMAGENS, OPERADORES, BENCHMARKS

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    • ABNT

      CASACA, Wallace Correa de Oliveira et al. Laplacian coordinates: theory and methods for seeded image segmentation. IEEE Transactions on Pattern Analysis and Machine Intelligence, v. 48, n. 8, p. 2665-2681, 2021Tradução . . Disponível em: https://doi.org/10.1109/TPAMI.2020.2974475. Acesso em: 28 nov. 2025.
    • APA

      Casaca, W. C. de O., Gois, J. P., Batagelo, H., Taubin, G., & Nonato, L. G. (2021). Laplacian coordinates: theory and methods for seeded image segmentation. IEEE Transactions on Pattern Analysis and Machine Intelligence, 48( 8), 2665-2681. doi:10.1109/TPAMI.2020.2974475
    • NLM

      Casaca WC de O, Gois JP, Batagelo H, Taubin G, Nonato LG. Laplacian coordinates: theory and methods for seeded image segmentation [Internet]. IEEE Transactions on Pattern Analysis and Machine Intelligence. 2021 ; 48( 8): 2665-2681.[citado 2025 nov. 28 ] Available from: https://doi.org/10.1109/TPAMI.2020.2974475
    • Vancouver

      Casaca WC de O, Gois JP, Batagelo H, Taubin G, Nonato LG. Laplacian coordinates: theory and methods for seeded image segmentation [Internet]. IEEE Transactions on Pattern Analysis and Machine Intelligence. 2021 ; 48( 8): 2665-2681.[citado 2025 nov. 28 ] Available from: https://doi.org/10.1109/TPAMI.2020.2974475

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