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Artigo de periodico
An iterative spanning forest framework for superpixel segmentation (2019)
Muñoz, John Edgar Vargas ; Chowdhury, Ananda Shankar ; Alexandre, Eduardo Barreto; Galvao, Felipe L; Miranda, Paulo André Vechiatto de ; Falcão, Alexandre Xavier
Source: IEEE Transactions on Image Processing. Unidade: IME
Subjects: VISÃO COMPUTACIONAL, PROCESSAMENTO DE IMAGENS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
MUÑOZ, John Edgar Vargas et al. An iterative spanning forest framework for superpixel segmentation. IEEE Transactions on Image Processing, v. 28, n. 7, p. 3477-3489, 2019Tradução . . Disponível em: https://doi.org/10.1109/tip.2019.2897941. Acesso em: 13 dez. 2025.
APA
Muñoz, J. E. V., Chowdhury, A. S., Alexandre, E. B., Galvao, F. L., Miranda, P. A. V. de, & Falcão, A. X. (2019). An iterative spanning forest framework for superpixel segmentation. IEEE Transactions on Image Processing, 28( 7), 3477-3489. doi:10.1109/tip.2019.2897941
NLM
Muñoz JEV, Chowdhury AS, Alexandre EB, Galvao FL, Miranda PAV de, Falcão AX. An iterative spanning forest framework for superpixel segmentation [Internet]. IEEE Transactions on Image Processing. 2019 ; 28( 7): 3477-3489.[citado 2025 dez. 13 ] Available from: https://doi.org/10.1109/tip.2019.2897941
Vancouver
Muñoz JEV, Chowdhury AS, Alexandre EB, Galvao FL, Miranda PAV de, Falcão AX. An iterative spanning forest framework for superpixel segmentation [Internet]. IEEE Transactions on Image Processing. 2019 ; 28( 7): 3477-3489.[citado 2025 dez. 13 ] Available from: https://doi.org/10.1109/tip.2019.2897941
Artigo de periodico
Hybrid approaches for interactive image segmentation using the live markers paradigm (2014)
Spina, Thiago Vallin; Falcão, Alexandre Xavier; Miranda, Paulo André Vechiatto de
Source: IEEE Transactions on Image Processing. Unidade: IME
Subjects: PROCESSAMENTO DE IMAGENS, VISÃO COMPUTACIONAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SPINA, Thiago Vallin e FALCÃO, Alexandre Xavier e MIRANDA, Paulo André Vechiatto de. Hybrid approaches for interactive image segmentation using the live markers paradigm. IEEE Transactions on Image Processing, v. 23, n. 12, p. 5756-5769, 2014Tradução . . Disponível em: https://doi.org/10.1109/TIP.2014.2367319. Acesso em: 13 dez. 2025.
APA
Spina, T. V., Falcão, A. X., & Miranda, P. A. V. de. (2014). Hybrid approaches for interactive image segmentation using the live markers paradigm. IEEE Transactions on Image Processing, 23( 12), 5756-5769. doi:10.1109/TIP.2014.2367319
NLM
Spina TV, Falcão AX, Miranda PAV de. Hybrid approaches for interactive image segmentation using the live markers paradigm [Internet]. IEEE Transactions on Image Processing. 2014 ; 23( 12): 5756-5769.[citado 2025 dez. 13 ] Available from: https://doi.org/10.1109/TIP.2014.2367319
Vancouver
Spina TV, Falcão AX, Miranda PAV de. Hybrid approaches for interactive image segmentation using the live markers paradigm [Internet]. IEEE Transactions on Image Processing. 2014 ; 23( 12): 5756-5769.[citado 2025 dez. 13 ] Available from: https://doi.org/10.1109/TIP.2014.2367319
Artigo de periodico
Oriented image foresting transform segmentation by seed competition (2014)
Miranda, Paulo André Vechiatto de ; Mansilla, Lucy Alsina Choque
Source: IEEE Transactions on Image Processing. Unidade: IME
Subjects: ALGORITMOS GRÁFICOS, COMPUTAÇÃO GRÁFICA, COMPUTAÇÃO APLICADA, FUZZY (INTELIGÊNCIA ARTIFICIAL)
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
MIRANDA, Paulo André Vechiatto de e MANSILLA, Lucy Alsina Choque. Oriented image foresting transform segmentation by seed competition. IEEE Transactions on Image Processing, v. 23, n. 1, p. 389-398, 2014Tradução . . Disponível em: https://doi.org/10.1109/TIP.2013.2288867. Acesso em: 13 dez. 2025.
APA
Miranda, P. A. V. de, & Mansilla, L. A. C. (2014). Oriented image foresting transform segmentation by seed competition. IEEE Transactions on Image Processing, 23( 1), 389-398. doi:10.1109/TIP.2013.2288867
NLM
Miranda PAV de, Mansilla LAC. Oriented image foresting transform segmentation by seed competition [Internet]. IEEE Transactions on Image Processing. 2014 ; 23( 1): 389-398.[citado 2025 dez. 13 ] Available from: https://doi.org/10.1109/TIP.2013.2288867
Vancouver
Miranda PAV de, Mansilla LAC. Oriented image foresting transform segmentation by seed competition [Internet]. IEEE Transactions on Image Processing. 2014 ; 23( 1): 389-398.[citado 2025 dez. 13 ] Available from: https://doi.org/10.1109/TIP.2013.2288867
Artigo de periodico
Riverbed: a novel user-steered image segmentation method based on optimum boundary tracking (2012)
Miranda, Paulo André Vechiatto de ; Falcão, Alexandre Xavier; Spina, Thiago V
Source: IEEE Transactions on Image Processing. Unidade: IME
Assunto: PROCESSAMENTO DE IMAGENS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
MIRANDA, Paulo André Vechiatto de e FALCÃO, Alexandre Xavier e SPINA, Thiago V. Riverbed: a novel user-steered image segmentation method based on optimum boundary tracking. IEEE Transactions on Image Processing, v. 21, n. 6, p. 3042\20133052, 2012Tradução . . Disponível em: https://doi.org/10.1109/TIP.2012.2188034. Acesso em: 13 dez. 2025.
APA
Miranda, P. A. V. de, Falcão, A. X., & Spina, T. V. (2012). Riverbed: a novel user-steered image segmentation method based on optimum boundary tracking. IEEE Transactions on Image Processing, 21( 6), 3042\20133052. doi:10.1109/TIP.2012.2188034
NLM
Miranda PAV de, Falcão AX, Spina TV. Riverbed: a novel user-steered image segmentation method based on optimum boundary tracking [Internet]. IEEE Transactions on Image Processing. 2012 ; 21( 6): 3042\20133052.[citado 2025 dez. 13 ] Available from: https://doi.org/10.1109/TIP.2012.2188034
Vancouver
Miranda PAV de, Falcão AX, Spina TV. Riverbed: a novel user-steered image segmentation method based on optimum boundary tracking [Internet]. IEEE Transactions on Image Processing. 2012 ; 21( 6): 3042\20133052.[citado 2025 dez. 13 ] Available from: https://doi.org/10.1109/TIP.2012.2188034

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