Filtros : "PROCESSAMENTO DE IMAGENS" "Journal of Mathematical Imaging and Vision" Limpar

Filtros



Refine with date range


  • Source: Journal of Mathematical Imaging and Vision. 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

      SILVA, Dennis J. et al. Efficient maximum euclidean distance transform computation in component trees using the differential image foresting transform. Journal of Mathematical Imaging and Vision, v. 67, n. artigo 31, p. 1-23, 2025Tradução . . Disponível em: https://doi.org/10.1007/s10851-025-01248-8. Acesso em: 27 nov. 2025.
    • APA

      Silva, D. J., Miranda, P. A. V. de, Alves, W. A. L., Hashimoto, R. F., Kosinka, J., & Roerdink, J. B. T. M. (2025). Efficient maximum euclidean distance transform computation in component trees using the differential image foresting transform. Journal of Mathematical Imaging and Vision, 67( artigo 31), 1-23. doi:10.1007/s10851-025-01248-8
    • NLM

      Silva DJ, Miranda PAV de, Alves WAL, Hashimoto RF, Kosinka J, Roerdink JBTM. Efficient maximum euclidean distance transform computation in component trees using the differential image foresting transform [Internet]. Journal of Mathematical Imaging and Vision. 2025 ; 67( artigo 31): 1-23.[citado 2025 nov. 27 ] Available from: https://doi.org/10.1007/s10851-025-01248-8
    • Vancouver

      Silva DJ, Miranda PAV de, Alves WAL, Hashimoto RF, Kosinka J, Roerdink JBTM. Efficient maximum euclidean distance transform computation in component trees using the differential image foresting transform [Internet]. Journal of Mathematical Imaging and Vision. 2025 ; 67( artigo 31): 1-23.[citado 2025 nov. 27 ] Available from: https://doi.org/10.1007/s10851-025-01248-8
  • Source: Journal of Mathematical Imaging and Vision. Unidade: IME

    Subjects: REDES NEURAIS, PROCESSAMENTO DE IMAGENS, IMAGEM DIGITAL, ALGORITMOS

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

      MARCONDES, Diego e FELDMAN, Mariana de Sousa e BARRERA, Junior. Unrestricted sequential discrete morphological neural networks. Journal of Mathematical Imaging and Vision, v. 67, n. 39, p. 1-22, 2025Tradução . . Disponível em: https://doi.org/10.1007/s10851-025-01255-9. Acesso em: 27 nov. 2025.
    • APA

      Marcondes, D., Feldman, M. de S., & Barrera, J. (2025). Unrestricted sequential discrete morphological neural networks. Journal of Mathematical Imaging and Vision, 67( 39), 1-22. doi:10.1007/s10851-025-01255-9
    • NLM

      Marcondes D, Feldman M de S, Barrera J. Unrestricted sequential discrete morphological neural networks [Internet]. Journal of Mathematical Imaging and Vision. 2025 ; 67( 39): 1-22.[citado 2025 nov. 27 ] Available from: https://doi.org/10.1007/s10851-025-01255-9
    • Vancouver

      Marcondes D, Feldman M de S, Barrera J. Unrestricted sequential discrete morphological neural networks [Internet]. Journal of Mathematical Imaging and Vision. 2025 ; 67( 39): 1-22.[citado 2025 nov. 27 ] Available from: https://doi.org/10.1007/s10851-025-01255-9
  • Source: Journal of Mathematical Imaging and Vision. Unidade: IME

    Assunto: PROCESSAMENTO DE IMAGENS

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

      CONDORI, Marcos Ademir Tejada e MIRANDA, Paulo André Vechiatto de. Differential oriented image foresting transform and its applications to support high-level priors for object segmentation. Journal of Mathematical Imaging and Vision, v. 65, n. 5, p. 802-817, 2023Tradução . . Disponível em: https://doi.org/10.1007/s10851-023-01158-7. Acesso em: 27 nov. 2025.
    • APA

      Condori, M. A. T., & Miranda, P. A. V. de. (2023). Differential oriented image foresting transform and its applications to support high-level priors for object segmentation. Journal of Mathematical Imaging and Vision, 65( 5), 802-817. doi:10.1007/s10851-023-01158-7
    • NLM

      Condori MAT, Miranda PAV de. Differential oriented image foresting transform and its applications to support high-level priors for object segmentation [Internet]. Journal of Mathematical Imaging and Vision. 2023 ; 65( 5): 802-817.[citado 2025 nov. 27 ] Available from: https://doi.org/10.1007/s10851-023-01158-7
    • Vancouver

      Condori MAT, Miranda PAV de. Differential oriented image foresting transform and its applications to support high-level priors for object segmentation [Internet]. Journal of Mathematical Imaging and Vision. 2023 ; 65( 5): 802-817.[citado 2025 nov. 27 ] Available from: https://doi.org/10.1007/s10851-023-01158-7
  • 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: 27 nov. 2025.
    • 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 2025 nov. 27 ] 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 2025 nov. 27 ] Available from: https://doi.org/10.1007/s10851-020-00953-w
  • 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: 27 nov. 2025.
    • 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 2025 nov. 27 ] 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 2025 nov. 27 ] Available from: https://doi.org/10.1007/s10851-018-0793-1
  • Source: Journal of Mathematical Imaging and Vision. 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

      BELUSSI, Luiz Felipe Franco e HIRATA, Nina Sumiko Tomita. Fast component-based QR Code detection in arbitrarily acquired images. Journal of Mathematical Imaging and Vision, v. 45, n. 3, p. 277-292, 2013Tradução . . Disponível em: https://doi.org/10.1007/s10851-012-0355-x. Acesso em: 27 nov. 2025.
    • APA

      Belussi, L. F. F., & Hirata, N. S. T. (2013). Fast component-based QR Code detection in arbitrarily acquired images. Journal of Mathematical Imaging and Vision, 45( 3), 277-292. doi:10.1007/s10851-012-0355-x
    • NLM

      Belussi LFF, Hirata NST. Fast component-based QR Code detection in arbitrarily acquired images [Internet]. Journal of Mathematical Imaging and Vision. 2013 ; 45( 3): 277-292.[citado 2025 nov. 27 ] Available from: https://doi.org/10.1007/s10851-012-0355-x
    • Vancouver

      Belussi LFF, Hirata NST. Fast component-based QR Code detection in arbitrarily acquired images [Internet]. Journal of Mathematical Imaging and Vision. 2013 ; 45( 3): 277-292.[citado 2025 nov. 27 ] Available from: https://doi.org/10.1007/s10851-012-0355-x
  • Source: Journal of Mathematical Imaging and Vision. Unidade: ICMC

    Subjects: COMPUTAÇÃO GRÁFICA, PROCESSAMENTO DE IMAGENS, GEOMETRIA COMPUTACIONAL

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

      CASACA, Wallace Correa de Oliveira et al. Spectral image segmentation using image decomposition and inner product-based metric. Journal of Mathematical Imaging and Vision, v. 45, n. 3, p. 227-238, 2013Tradução . . Disponível em: https://doi.org/10.1007/s10851-012-0359-6. Acesso em: 27 nov. 2025.
    • APA

      Casaca, W. C. de O., Paiva, A., Gomez-Nieto, E., Joia, P., & Nonato, L. G. (2013). Spectral image segmentation using image decomposition and inner product-based metric. Journal of Mathematical Imaging and Vision, 45( 3), 227-238. doi:10.1007/s10851-012-0359-6
    • NLM

      Casaca WC de O, Paiva A, Gomez-Nieto E, Joia P, Nonato LG. Spectral image segmentation using image decomposition and inner product-based metric [Internet]. Journal of Mathematical Imaging and Vision. 2013 ; 45( 3): 227-238.[citado 2025 nov. 27 ] Available from: https://doi.org/10.1007/s10851-012-0359-6
    • Vancouver

      Casaca WC de O, Paiva A, Gomez-Nieto E, Joia P, Nonato LG. Spectral image segmentation using image decomposition and inner product-based metric [Internet]. Journal of Mathematical Imaging and Vision. 2013 ; 45( 3): 227-238.[citado 2025 nov. 27 ] Available from: https://doi.org/10.1007/s10851-012-0359-6
  • 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: 27 nov. 2025.
    • 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 2025 nov. 27 ] 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 2025 nov. 27 ] Available from: https://doi.org/10.1007/s10851-012-0333-3
  • Source: Journal of Mathematical Imaging and Vision. Unidade: ICMC

    Subjects: COMPUTAÇÃO GRÁFICA, PROCESSAMENTO DE IMAGENS

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

      CUADROS-VARGAS, Alex Jesus et al. Generating segmented quality meshes from images. Journal of Mathematical Imaging and Vision, v. 33, n. 1, p. 11-23, 2009Tradução . . Disponível em: http://www.springerlink.com.w10077.dotlib.com.br/content/r6542u61v297/?p=455b1155c4f743f6baa425af9d55238f&pi=2. Acesso em: 27 nov. 2025.
    • APA

      Cuadros-Vargas, A. J., Lizier, M., Minghim, R., & Nonato, L. G. (2009). Generating segmented quality meshes from images. Journal of Mathematical Imaging and Vision, 33( 1), 11-23. Recuperado de http://www.springerlink.com.w10077.dotlib.com.br/content/r6542u61v297/?p=455b1155c4f743f6baa425af9d55238f&pi=2
    • NLM

      Cuadros-Vargas AJ, Lizier M, Minghim R, Nonato LG. Generating segmented quality meshes from images [Internet]. Journal of Mathematical Imaging and Vision. 2009 ;33( 1): 11-23.[citado 2025 nov. 27 ] Available from: http://www.springerlink.com.w10077.dotlib.com.br/content/r6542u61v297/?p=455b1155c4f743f6baa425af9d55238f&pi=2
    • Vancouver

      Cuadros-Vargas AJ, Lizier M, Minghim R, Nonato LG. Generating segmented quality meshes from images [Internet]. Journal of Mathematical Imaging and Vision. 2009 ;33( 1): 11-23.[citado 2025 nov. 27 ] Available from: http://www.springerlink.com.w10077.dotlib.com.br/content/r6542u61v297/?p=455b1155c4f743f6baa425af9d55238f&pi=2
  • Source: Journal of Mathematical Imaging and Vision. Unidade: IME

    Subjects: CIÊNCIA DA COMPUTAÇÃO, PROCESSAMENTO DE IMAGENS, INTELIGÊNCIA ARTIFICIAL

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

      HASHIMOTO, Ronaldo Fumio e BARRERA, Júnior. A greedy algorithm for decomposing convex structuring elements. Journal of Mathematical Imaging and Vision, v. 18, n. 3, p. 269-289, 2003Tradução . . Disponível em: https://doi.org/10.1023%2FA%3A1022847527229. Acesso em: 27 nov. 2025.
    • APA

      Hashimoto, R. F., & Barrera, J. (2003). A greedy algorithm for decomposing convex structuring elements. Journal of Mathematical Imaging and Vision, 18( 3), 269-289. doi:10.1023%2FA%3A1022847527229
    • NLM

      Hashimoto RF, Barrera J. A greedy algorithm for decomposing convex structuring elements [Internet]. Journal of Mathematical Imaging and Vision. 2003 ; 18( 3): 269-289.[citado 2025 nov. 27 ] Available from: https://doi.org/10.1023%2FA%3A1022847527229
    • Vancouver

      Hashimoto RF, Barrera J. A greedy algorithm for decomposing convex structuring elements [Internet]. Journal of Mathematical Imaging and Vision. 2003 ; 18( 3): 269-289.[citado 2025 nov. 27 ] Available from: https://doi.org/10.1023%2FA%3A1022847527229
  • Source: Journal of Mathematical Imaging and Vision. 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

      HASHIMOTO, Ronaldo Fumio e BARRERA, Júnior. From the sup-decomposition to sequential decompositions. Journal of Mathematical Imaging and Vision, v. 15, n. 3, p. 197-216, 2001Tradução . . Disponível em: https://doi.org/10.1023%2FA%3A1012276422769. Acesso em: 27 nov. 2025.
    • APA

      Hashimoto, R. F., & Barrera, J. (2001). From the sup-decomposition to sequential decompositions. Journal of Mathematical Imaging and Vision, 15( 3), 197-216. doi:10.1023%2FA%3A1012276422769
    • NLM

      Hashimoto RF, Barrera J. From the sup-decomposition to sequential decompositions [Internet]. Journal of Mathematical Imaging and Vision. 2001 ; 15( 3): 197-216.[citado 2025 nov. 27 ] Available from: https://doi.org/10.1023%2FA%3A1012276422769
    • Vancouver

      Hashimoto RF, Barrera J. From the sup-decomposition to sequential decompositions [Internet]. Journal of Mathematical Imaging and Vision. 2001 ; 15( 3): 197-216.[citado 2025 nov. 27 ] Available from: https://doi.org/10.1023%2FA%3A1012276422769
  • Source: Journal of Mathematical Imaging and Vision. Unidade: IME

    Subjects: COMPUTAÇÃO GRÁFICA, PROCESSAMENTO DE IMAGENS

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

      DOUGHERTY, Edward R. et al. Multiresolution analysis for optimal binary filters. Journal of Mathematical Imaging and Vision, v. 14, n. 1, p. 53-72, 2001Tradução . . Disponível em: https://doi.org/10.1023%2FA%3A1008311431244. Acesso em: 27 nov. 2025.
    • APA

      Dougherty, E. R., Barrera, J., Mozelle, G., Kim, S., & Brun, M. (2001). Multiresolution analysis for optimal binary filters. Journal of Mathematical Imaging and Vision, 14( 1), 53-72. doi:10.1023%2FA%3A1008311431244
    • NLM

      Dougherty ER, Barrera J, Mozelle G, Kim S, Brun M. Multiresolution analysis for optimal binary filters [Internet]. Journal of Mathematical Imaging and Vision. 2001 ; 14( 1): 53-72.[citado 2025 nov. 27 ] Available from: https://doi.org/10.1023%2FA%3A1008311431244
    • Vancouver

      Dougherty ER, Barrera J, Mozelle G, Kim S, Brun M. Multiresolution analysis for optimal binary filters [Internet]. Journal of Mathematical Imaging and Vision. 2001 ; 14( 1): 53-72.[citado 2025 nov. 27 ] Available from: https://doi.org/10.1023%2FA%3A1008311431244

Digital Library of Intellectual Production of Universidade de São Paulo     2012 - 2025