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Artigo de periodico
Dynamic texture analysis with diffusion in networks (2019)
Ribas, Lucas Correia ; Gonçalves, Wesley Nunes ; Bruno, Odemir Martinez
Fonte: Digital Signal Processing. Unidades: IFSC, ICMC
Assuntos: RECONHECIMENTO DE PADRÕES, PROCESSAMENTO DE IMAGENS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
RIBAS, Lucas Correia e GONÇALVES, Wesley Nunes e BRUNO, Odemir Martinez. Dynamic texture analysis with diffusion in networks. Digital Signal Processing, v. 92, p. Se 2019, 2019Tradução . . Disponível em: https://doi.org/10.1016/j.dsp.2019.03.017. Acesso em: 12 nov. 2025.
APA
Ribas, L. C., Gonçalves, W. N., & Bruno, O. M. (2019). Dynamic texture analysis with diffusion in networks. Digital Signal Processing, 92, Se 2019. doi:10.1016/j.dsp.2019.03.017
NLM
Ribas LC, Gonçalves WN, Bruno OM. Dynamic texture analysis with diffusion in networks [Internet]. Digital Signal Processing. 2019 ; 92 Se 2019.[citado 2025 nov. 12 ] Available from: https://doi.org/10.1016/j.dsp.2019.03.017
Vancouver
Ribas LC, Gonçalves WN, Bruno OM. Dynamic texture analysis with diffusion in networks [Internet]. Digital Signal Processing. 2019 ; 92 Se 2019.[citado 2025 nov. 12 ] Available from: https://doi.org/10.1016/j.dsp.2019.03.017
Artigo de periodico
Improving texture extraction and classification using smoothed morphological operators (2018)
Barros Neiva, Mariane; Vacavant, Antoine; Bruno, Odemir Martinez
Fonte: Digital Signal Processing. Unidade: IFSC
Assuntos: RECONHECIMENTO DE PADRÕES, PROCESSAMENTO DE IMAGENS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
BARROS NEIVA, Mariane e VACAVANT, Antoine e BRUNO, Odemir Martinez. Improving texture extraction and classification using smoothed morphological operators. Digital Signal Processing, v. 83, p. 24-34, 2018Tradução . . Disponível em: https://doi.org/10.1016/j.dsp.2018.06.001. Acesso em: 12 nov. 2025.
APA
Barros Neiva, M., Vacavant, A., & Bruno, O. M. (2018). Improving texture extraction and classification using smoothed morphological operators. Digital Signal Processing, 83, 24-34. doi:10.1016/j.dsp.2018.06.001
NLM
Barros Neiva M, Vacavant A, Bruno OM. Improving texture extraction and classification using smoothed morphological operators [Internet]. Digital Signal Processing. 2018 ; 83 24-34.[citado 2025 nov. 12 ] Available from: https://doi.org/10.1016/j.dsp.2018.06.001
Vancouver
Barros Neiva M, Vacavant A, Bruno OM. Improving texture extraction and classification using smoothed morphological operators [Internet]. Digital Signal Processing. 2018 ; 83 24-34.[citado 2025 nov. 12 ] Available from: https://doi.org/10.1016/j.dsp.2018.06.001
Artigo de periodico
Texture descriptors by a fractal analysis of three-dimensional local coarseness (2015)
Florindo, João Batista; Landini, Gabriel; Bruno, Odemir Martinez
Fonte: Digital Signal Processing. Unidade: IFSC
Assuntos: RECONHECIMENTO DE PADRÕES, FRACTAIS, PROCESSAMENTO DE IMAGENS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
FLORINDO, João Batista e LANDINI, Gabriel e BRUNO, Odemir Martinez. Texture descriptors by a fractal analysis of three-dimensional local coarseness. Digital Signal Processing, v. 42, p. 70-79, 2015Tradução . . Disponível em: https://doi.org/10.1016/j.dsp.2015.03.013. Acesso em: 12 nov. 2025.
APA
Florindo, J. B., Landini, G., & Bruno, O. M. (2015). Texture descriptors by a fractal analysis of three-dimensional local coarseness. Digital Signal Processing, 42, 70-79. doi:10.1016/j.dsp.2015.03.013
NLM
Florindo JB, Landini G, Bruno OM. Texture descriptors by a fractal analysis of three-dimensional local coarseness [Internet]. Digital Signal Processing. 2015 ; 42 70-79.[citado 2025 nov. 12 ] Available from: https://doi.org/10.1016/j.dsp.2015.03.013
Vancouver
Florindo JB, Landini G, Bruno OM. Texture descriptors by a fractal analysis of three-dimensional local coarseness [Internet]. Digital Signal Processing. 2015 ; 42 70-79.[citado 2025 nov. 12 ] Available from: https://doi.org/10.1016/j.dsp.2015.03.013
Artigo de periodico
A new technique to construct a wavelet transform matching a specified signal with applications to digital, real time, spike, and overlap pattern recognition (2006)
Guido, Rodrigo Capobianco; Slaets, Jan Frans Willem; Koberle, Roland ; Almeida, Lirio Onofre Baptista de; Pereira, Jose Carlos
Fonte: Digital Signal Processing. Unidades: IFSC, EESC
Assuntos: PROCESSAMENTO DE IMAGENS, TEMPO-REAL, NEURÔNIOS, VISÃO (SISTEMAS), MOSCAS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
GUIDO, Rodrigo Capobianco et al. A new technique to construct a wavelet transform matching a specified signal with applications to digital, real time, spike, and overlap pattern recognition. Digital Signal Processing, v. 16, n. Ja 2006, p. 24-44, 2006Tradução . . Disponível em: https://doi.org/10.1016/j.dsp.2005.04.002. Acesso em: 12 nov. 2025.
APA
Guido, R. C., Slaets, J. F. W., Koberle, R., Almeida, L. O. B. de, & Pereira, J. C. (2006). A new technique to construct a wavelet transform matching a specified signal with applications to digital, real time, spike, and overlap pattern recognition. Digital Signal Processing, 16( Ja 2006), 24-44. doi:10.1016/j.dsp.2005.04.002
NLM
Guido RC, Slaets JFW, Koberle R, Almeida LOB de, Pereira JC. A new technique to construct a wavelet transform matching a specified signal with applications to digital, real time, spike, and overlap pattern recognition [Internet]. Digital Signal Processing. 2006 ; 16( Ja 2006): 24-44.[citado 2025 nov. 12 ] Available from: https://doi.org/10.1016/j.dsp.2005.04.002
Vancouver
Guido RC, Slaets JFW, Koberle R, Almeida LOB de, Pereira JC. A new technique to construct a wavelet transform matching a specified signal with applications to digital, real time, spike, and overlap pattern recognition [Internet]. Digital Signal Processing. 2006 ; 16( Ja 2006): 24-44.[citado 2025 nov. 12 ] Available from: https://doi.org/10.1016/j.dsp.2005.04.002

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