Filtros : "Ciesielski, Krzysztof Chris" Removido: "2020" Limpar

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  • Source: Journal of Mathematical Imaging and Vision. Unidade: IME

    Subjects: PROCESSAMENTO DE IMAGENS, VISÃO COMPUTACIONAL

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    • ABNT

      CIESIELSKI, Krzysztof Chris e FALCÃO, Alexandre Xavier e MIRANDA, Paulo André Vechiatto de. Path-value functions for which Dijkstra’s algorithm returns optimal mapping. Journal of Mathematical Imaging and Vision, v. 60, n. 7, p. 1025–1036, 2018Tradução . . Disponível em: https://doi.org/10.1007/s10851-018-0793-1. Acesso em: 01 maio 2024.
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      Ciesielski, K. C., Falcão, A. X., & Miranda, P. A. V. de. (2018). Path-value functions for which Dijkstra’s algorithm returns optimal mapping. Journal of Mathematical Imaging and Vision, 60( 7), 1025–1036. doi:10.1007/s10851-018-0793-1
    • NLM

      Ciesielski KC, Falcão AX, Miranda PAV de. Path-value functions for which Dijkstra’s algorithm returns optimal mapping [Internet]. Journal of Mathematical Imaging and Vision. 2018 ; 60( 7): 1025–1036.[citado 2024 maio 01 ] Available from: https://doi.org/10.1007/s10851-018-0793-1
    • Vancouver

      Ciesielski KC, Falcão AX, Miranda PAV de. Path-value functions for which Dijkstra’s algorithm returns optimal mapping [Internet]. Journal of Mathematical Imaging and Vision. 2018 ; 60( 7): 1025–1036.[citado 2024 maio 01 ] Available from: https://doi.org/10.1007/s10851-018-0793-1
  • Source: Medical Image Analysis. Unidade: IME

    Assunto: PROCESSAMENTO DE IMAGENS

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      CIESIELSKI, Krzysztof Chris et al. Joint graph cut and relative fuzzy connectedness image segmentation algorithm. Medical Image Analysis, v. 17, n. 8, p. 1046-1057, 2013Tradução . . Disponível em: https://doi.org/10.1016/j.media.2013.06.006. Acesso em: 01 maio 2024.
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      Ciesielski, K. C., Miranda, P. A. V. de, Falcão, A. X., & Udupa, J. K. (2013). Joint graph cut and relative fuzzy connectedness image segmentation algorithm. Medical Image Analysis, 17( 8), 1046-1057. doi:10.1016/j.media.2013.06.006
    • NLM

      Ciesielski KC, Miranda PAV de, Falcão AX, Udupa JK. Joint graph cut and relative fuzzy connectedness image segmentation algorithm [Internet]. Medical Image Analysis. 2013 ; 17( 8): 1046-1057.[citado 2024 maio 01 ] Available from: https://doi.org/10.1016/j.media.2013.06.006
    • Vancouver

      Ciesielski KC, Miranda PAV de, Falcão AX, Udupa JK. Joint graph cut and relative fuzzy connectedness image segmentation algorithm [Internet]. Medical Image Analysis. 2013 ; 17( 8): 1046-1057.[citado 2024 maio 01 ] Available from: https://doi.org/10.1016/j.media.2013.06.006
  • Source: Proceedings. Conference titles: International Conference on Image Processing - ICIP. Unidade: IME

    Subjects: PROCESSAMENTO DE IMAGENS, ALGORITMOS PARA IMAGENS

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      CIESIELSKI, Krzysztof Chris et al. Image segmentation by combining the strengths of relative fuzzy connectedness and graph cut. 2012, Anais.. Piscataway: IEEE, 2012. Disponível em: https://doi.org/10.1109/ICIP.2012.6467282. Acesso em: 01 maio 2024.
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      Ciesielski, K. C., Miranda, P. A. V. de, Udupa, J. K., & Falcão, A. X. (2012). Image segmentation by combining the strengths of relative fuzzy connectedness and graph cut. In Proceedings. Piscataway: IEEE. doi:10.1109/ICIP.2012.6467282
    • NLM

      Ciesielski KC, Miranda PAV de, Udupa JK, Falcão AX. Image segmentation by combining the strengths of relative fuzzy connectedness and graph cut [Internet]. Proceedings. 2012 ;[citado 2024 maio 01 ] Available from: https://doi.org/10.1109/ICIP.2012.6467282
    • Vancouver

      Ciesielski KC, Miranda PAV de, Udupa JK, Falcão AX. Image segmentation by combining the strengths of relative fuzzy connectedness and graph cut [Internet]. Proceedings. 2012 ;[citado 2024 maio 01 ] Available from: https://doi.org/10.1109/ICIP.2012.6467282
  • Source: Proceedings. Conference titles: International Conference on Discrete Geometry for Computer Imagery - DGCI. Unidade: IME

    Subjects: PROCESSAMENTO DE IMAGENS, VISÃO COMPUTACIONAL

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      BRAZ, Caio de Moraes et al. Graph-based segmentation with local band constraints. 2019, Anais.. Cham: Springer, 2019. Disponível em: https://doi.org/10.1007/978-3-030-14085-4_13. Acesso em: 01 maio 2024.
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      Braz, C. de M., Miranda, P. A. V. de, Ciesielski, K. C., & Cappabianco, F. A. M. (2019). Graph-based segmentation with local band constraints. In Proceedings. Cham: Springer. doi:10.1007/978-3-030-14085-4_13
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      Braz C de M, Miranda PAV de, Ciesielski KC, Cappabianco FAM. Graph-based segmentation with local band constraints [Internet]. Proceedings. 2019 ;[citado 2024 maio 01 ] Available from: https://doi.org/10.1007/978-3-030-14085-4_13
    • Vancouver

      Braz C de M, Miranda PAV de, Ciesielski KC, Cappabianco FAM. Graph-based segmentation with local band constraints [Internet]. Proceedings. 2019 ;[citado 2024 maio 01 ] Available from: https://doi.org/10.1007/978-3-030-14085-4_13
  • Source: Proceedings of SPIE. Conference titles: Medical Imaging 2012 : image processing. Unidade: IME

    Subjects: PROCESSAMENTO DE IMAGENS, ALGORITMOS PARA IMAGENS

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      ZHUGE, Ying et al. GPU-based iterative relative fuzzy connectedness image segmentation. Proceedings of SPIE. Bellingham: SPIE. Disponível em: https://doi.org/10.1117/12.911794. Acesso em: 01 maio 2024. , 2012
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      Zhuge, Y., Udupa, J. K., Ciesielski, K. C., Falcão, A. X., & Miranda, P. A. V. de. (2012). GPU-based iterative relative fuzzy connectedness image segmentation. Proceedings of SPIE. Bellingham: SPIE. doi:10.1117/12.911794
    • NLM

      Zhuge Y, Udupa JK, Ciesielski KC, Falcão AX, Miranda PAV de. GPU-based iterative relative fuzzy connectedness image segmentation [Internet]. Proceedings of SPIE. 2012 ; 8316[citado 2024 maio 01 ] Available from: https://doi.org/10.1117/12.911794
    • Vancouver

      Zhuge Y, Udupa JK, Ciesielski KC, Falcão AX, Miranda PAV de. GPU-based iterative relative fuzzy connectedness image segmentation [Internet]. Proceedings of SPIE. 2012 ; 8316[citado 2024 maio 01 ] Available from: https://doi.org/10.1117/12.911794
  • Source: Journal of Mathematical Imaging and Vision. Unidade: IME

    Assunto: PROCESSAMENTO DE IMAGENS

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      CIESIELSKI, Krzysztof Chris et al. Fuzzy connectedness image segmentation in graph cut formulation: a linear-time algorithm and a comparative analysis. Journal of Mathematical Imaging and Vision, v. 44 n. 3, p. 375-398, 2012Tradução . . Disponível em: https://doi.org/10.1007/s10851-012-0333-3. Acesso em: 01 maio 2024.
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      Ciesielski, K. C., Udupa, J. K., Falcão, A. X., & Miranda, P. A. V. de. (2012). Fuzzy connectedness image segmentation in graph cut formulation: a linear-time algorithm and a comparative analysis. Journal of Mathematical Imaging and Vision, 44 n. 3, 375-398. doi:10.1007/s10851-012-0333-3
    • NLM

      Ciesielski KC, Udupa JK, Falcão AX, Miranda PAV de. Fuzzy connectedness image segmentation in graph cut formulation: a linear-time algorithm and a comparative analysis [Internet]. Journal of Mathematical Imaging and Vision. 2012 ; 44 n. 3 375-398.[citado 2024 maio 01 ] Available from: https://doi.org/10.1007/s10851-012-0333-3
    • Vancouver

      Ciesielski KC, Udupa JK, Falcão AX, Miranda PAV de. Fuzzy connectedness image segmentation in graph cut formulation: a linear-time algorithm and a comparative analysis [Internet]. Journal of Mathematical Imaging and Vision. 2012 ; 44 n. 3 375-398.[citado 2024 maio 01 ] Available from: https://doi.org/10.1007/s10851-012-0333-3
  • Source: Mathematical Morphology - Theory and Applications. Unidade: IME

    Subjects: PROCESSAMENTO DE IMAGENS, METODOLOGIA E TÉCNICAS DE COMPUTAÇÃO

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      LEON, Leissi Margarita Castaneda e CIESIELSKI, Krzysztof Chris e MIRANDA, Paulo André Vechiatto de. Efficient hierarchical multi-object segmentation in layered graphs. Mathematical Morphology - Theory and Applications, v. 5, p. 21-42, 2021Tradução . . Disponível em: https://doi.org/10.1515/mathm-2020-0108. Acesso em: 01 maio 2024.
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      Leon, L. M. C., Ciesielski, K. C., & Miranda, P. A. V. de. (2021). Efficient hierarchical multi-object segmentation in layered graphs. Mathematical Morphology - Theory and Applications, 5, 21-42. doi:10.1515/mathm-2020-0108
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      Leon LMC, Ciesielski KC, Miranda PAV de. Efficient hierarchical multi-object segmentation in layered graphs [Internet]. Mathematical Morphology - Theory and Applications. 2021 ; 5 21-42.[citado 2024 maio 01 ] Available from: https://doi.org/10.1515/mathm-2020-0108
    • Vancouver

      Leon LMC, Ciesielski KC, Miranda PAV de. Efficient hierarchical multi-object segmentation in layered graphs [Internet]. Mathematical Morphology - Theory and Applications. 2021 ; 5 21-42.[citado 2024 maio 01 ] Available from: https://doi.org/10.1515/mathm-2020-0108
  • Source: Anais estendidos. Conference titles: Conference on Graphics, Patterns and Images - SIBGRAPI. Unidade: IME

    Assunto: PROCESSAMENTO DE IMAGENS

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      LEON, Leissi Margarita Castaneda e CIESIELSKI, Krzysztof Chris e MIRANDA, Paulo André Vechiatto de. An efficient hierarchical layered graph approach for multi-region segmentation. 2019, Anais.. Porto Alegre: SBC, 2019. Disponível em: https://doi.org/10.5753/sibgrapi.est.2019.8301. Acesso em: 01 maio 2024.
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      Leon, L. M. C., Ciesielski, K. C., & Miranda, P. A. V. de. (2019). An efficient hierarchical layered graph approach for multi-region segmentation. In Anais estendidos. Porto Alegre: SBC. doi:10.5753/sibgrapi.est.2019.8301
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      Leon LMC, Ciesielski KC, Miranda PAV de. An efficient hierarchical layered graph approach for multi-region segmentation [Internet]. Anais estendidos. 2019 ;[citado 2024 maio 01 ] Available from: https://doi.org/10.5753/sibgrapi.est.2019.8301
    • Vancouver

      Leon LMC, Ciesielski KC, Miranda PAV de. An efficient hierarchical layered graph approach for multi-region segmentation [Internet]. Anais estendidos. 2019 ;[citado 2024 maio 01 ] Available from: https://doi.org/10.5753/sibgrapi.est.2019.8301
  • Source: Proceedings of SPIE. Conference titles: Medical Imaging 2012 : image processing. Unidade: IME

    Assunto: PROCESSAMENTO DE IMAGENS

    Acesso à fonteDOIHow to cite
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      CIESIELSKI, Krzysztof Chris et al. A unifying graph-cut image segmentation framework: algorithms it encompasses and equivalences among them. Proceedings of SPIE. Bellingham: SPIE. Disponível em: https://doi.org/10.1117/12.911810. Acesso em: 01 maio 2024. , 2012
    • APA

      Ciesielski, K. C., Udupa, J. K., Falcão, A. X., & Miranda, P. A. V. de. (2012). A unifying graph-cut image segmentation framework: algorithms it encompasses and equivalences among them. Proceedings of SPIE. Bellingham: SPIE. doi:10.1117/12.911810
    • NLM

      Ciesielski KC, Udupa JK, Falcão AX, Miranda PAV de. A unifying graph-cut image segmentation framework: algorithms it encompasses and equivalences among them [Internet]. Proceedings of SPIE. 2012 ; 8314[citado 2024 maio 01 ] Available from: https://doi.org/10.1117/12.911810
    • Vancouver

      Ciesielski KC, Udupa JK, Falcão AX, Miranda PAV de. A unifying graph-cut image segmentation framework: algorithms it encompasses and equivalences among them [Internet]. Proceedings of SPIE. 2012 ; 8314[citado 2024 maio 01 ] Available from: https://doi.org/10.1117/12.911810

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