Filtros : "Ciesielski, Krzysztof Chris" Limpar

Filtros



Refine with date range


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

    Subjects: PROCESSAMENTO DE IMAGENS, VISÃO COMPUTACIONAL

    PrivadoAcesso à fonteDOIHow to cite
    A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
    • 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: 18 abr. 2024.
    • APA

      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 abr. 18 ] 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 abr. 18 ] Available from: https://doi.org/10.1007/s10851-018-0793-1
  • Source: Journal of Mathematical Imaging and Vision. Unidade: IME

    Subjects: PROCESSAMENTO DE IMAGENS, VISÃO COMPUTACIONAL

    Versão AceitaAcesso à fonteDOIHow to cite
    A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
    • ABNT

      BRAZ, Caio de Moraes et al. Optimum cuts in graphs by general fuzzy connectedness with local band constraints. Journal of Mathematical Imaging and Vision, v. 62, n. 5, p. 659-672, 2020Tradução . . Disponível em: https://doi.org/10.1007/s10851-020-00953-w. Acesso em: 18 abr. 2024.
    • APA

      Braz, C. de M., Miranda, P. A. V. de, Ciesielski, K. C., & Cappabianco, F. A. M. (2020). Optimum cuts in graphs by general fuzzy connectedness with local band constraints. Journal of Mathematical Imaging and Vision, 62( 5), 659-672. doi:10.1007/s10851-020-00953-w
    • NLM

      Braz C de M, Miranda PAV de, Ciesielski KC, Cappabianco FAM. Optimum cuts in graphs by general fuzzy connectedness with local band constraints [Internet]. Journal of Mathematical Imaging and Vision. 2020 ; 62( 5): 659-672.[citado 2024 abr. 18 ] Available from: https://doi.org/10.1007/s10851-020-00953-w
    • Vancouver

      Braz C de M, Miranda PAV de, Ciesielski KC, Cappabianco FAM. Optimum cuts in graphs by general fuzzy connectedness with local band constraints [Internet]. Journal of Mathematical Imaging and Vision. 2020 ; 62( 5): 659-672.[citado 2024 abr. 18 ] Available from: https://doi.org/10.1007/s10851-020-00953-w
  • Source: Medical Image Analysis. Unidade: IME

    Assunto: PROCESSAMENTO DE IMAGENS

    Versão PublicadaAcesso à fonteDOIHow to cite
    A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
    • ABNT

      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: 18 abr. 2024.
    • APA

      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 abr. 18 ] 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 abr. 18 ] 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

    PrivadoAcesso à fonteDOIHow to cite
    A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
    • ABNT

      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: 18 abr. 2024.
    • APA

      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 abr. 18 ] 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 abr. 18 ] 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

    PrivadoAcesso à fonteDOIHow to cite
    A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
    • ABNT

      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: 18 abr. 2024.
    • APA

      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
    • NLM

      Braz C de M, Miranda PAV de, Ciesielski KC, Cappabianco FAM. Graph-based segmentation with local band constraints [Internet]. Proceedings. 2019 ;[citado 2024 abr. 18 ] 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 abr. 18 ] 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

    Acesso à fonteDOIHow to cite
    A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
    • ABNT

      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: 18 abr. 2024. , 2012
    • APA

      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 abr. 18 ] 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 abr. 18 ] Available from: https://doi.org/10.1117/12.911794
  • Source: Journal of Mathematical Imaging and Vision. Unidade: IME

    Assunto: PROCESSAMENTO DE IMAGENS

    PrivadoAcesso à fonteDOIHow to cite
    A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
    • ABNT

      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: 18 abr. 2024.
    • APA

      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 abr. 18 ] 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 abr. 18 ] 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

    PrivadoAcesso à fonteDOIHow to cite
    A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
    • ABNT

      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: 18 abr. 2024.
    • APA

      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
    • NLM

      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 abr. 18 ] 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 abr. 18 ] 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

    Versão PublicadaAcesso à fonteDOIHow to cite
    A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
    • ABNT

      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: 18 abr. 2024.
    • APA

      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
    • NLM

      Leon LMC, Ciesielski KC, Miranda PAV de. An efficient hierarchical layered graph approach for multi-region segmentation [Internet]. Anais estendidos. 2019 ;[citado 2024 abr. 18 ] 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 abr. 18 ] 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
    A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
    • ABNT

      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: 18 abr. 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 abr. 18 ] 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 abr. 18 ] Available from: https://doi.org/10.1117/12.911810

Digital Library of Intellectual Production of Universidade de São Paulo     2012 - 2024