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Artigo de periodico
Improved wood species identification based on multi-view imagery of the three anatomical planes (2022)
Silva, Núbia Rosa da ; Deklerck, Victor; Baetens, Jan M.; Bulcke, Jan Van den; Ridder, Maaike De; Rousseau, Mélissa; Bruno, Odemir Martinez ; Beeckman, Hans; Acker, Joris Van; Baets, Bernard De; Verwaeren, Jan
Source: Plant Methods. Unidade: IFSC
Subjects: RECONHECIMENTO DE PADRÕES, IMAGEM, MADEIRA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SILVA, Núbia Rosa da et al. Improved wood species identification based on multi-view imagery of the three anatomical planes. Plant Methods, v. 18, n. 1, p. 79-1-79-17, 2022Tradução . . Disponível em: https://doi.org/10.1186/s13007-022-00910-1. Acesso em: 12 ago. 2024.
APA
Silva, N. R. da, Deklerck, V., Baetens, J. M., Bulcke, J. V. den, Ridder, M. D., Rousseau, M., et al. (2022). Improved wood species identification based on multi-view imagery of the three anatomical planes. Plant Methods, 18( 1), 79-1-79-17. doi:10.1186/s13007-022-00910-1
NLM
Silva NR da, Deklerck V, Baetens JM, Bulcke JV den, Ridder MD, Rousseau M, Bruno OM, Beeckman H, Acker JV, Baets BD, Verwaeren J. Improved wood species identification based on multi-view imagery of the three anatomical planes [Internet]. Plant Methods. 2022 ; 18( 1): 79-1-79-17.[citado 2024 ago. 12 ] Available from: https://doi.org/10.1186/s13007-022-00910-1
Vancouver
Silva NR da, Deklerck V, Baetens JM, Bulcke JV den, Ridder MD, Rousseau M, Bruno OM, Beeckman H, Acker JV, Baets BD, Verwaeren J. Improved wood species identification based on multi-view imagery of the three anatomical planes [Internet]. Plant Methods. 2022 ; 18( 1): 79-1-79-17.[citado 2024 ago. 12 ] Available from: https://doi.org/10.1186/s13007-022-00910-1
Parte de monografia/livro
Shape analysis of plant leaves using complex networks for species identification (2017)
Casanova, Dalcimar; Silva, Núbia Rosa da; Cordeiro, Douglas Farias; Kolb, Rosana Marta; Bruno, Odemir Martinez
Source: Biological shape analysis: Proceedings of the 4th International Symposium. Unidade: IFSC
Subjects: FRACTAIS, CIÊNCIA DA COMPUTAÇÃO, GEOMETRIA DIFERENCIAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
CASANOVA, Dalcimar et al. Shape analysis of plant leaves using complex networks for species identification. Biological shape analysis: Proceedings of the 4th International Symposium. Tradução . Singapura: World Scientific, 2017. . Disponível em: https://doi.org/10.1142/9789813225701_0003. Acesso em: 12 ago. 2024.
APA
Casanova, D., Silva, N. R. da, Cordeiro, D. F., Kolb, R. M., & Bruno, O. M. (2017). Shape analysis of plant leaves using complex networks for species identification. In Biological shape analysis: Proceedings of the 4th International Symposium. Singapura: World Scientific. doi:10.1142/9789813225701_0003
NLM
Casanova D, Silva NR da, Cordeiro DF, Kolb RM, Bruno OM. Shape analysis of plant leaves using complex networks for species identification [Internet]. In: Biological shape analysis: Proceedings of the 4th International Symposium. Singapura: World Scientific; 2017. [citado 2024 ago. 12 ] Available from: https://doi.org/10.1142/9789813225701_0003
Vancouver
Casanova D, Silva NR da, Cordeiro DF, Kolb RM, Bruno OM. Shape analysis of plant leaves using complex networks for species identification [Internet]. In: Biological shape analysis: Proceedings of the 4th International Symposium. Singapura: World Scientific; 2017. [citado 2024 ago. 12 ] Available from: https://doi.org/10.1142/9789813225701_0003
Artigo de periodico
Automatic leaf epidermis assessment using fourier descriptors in texture images (2017)
Silva, Núbia Rosa da; Oliveira, Marcos William da Silva; Almeida Filho, Humberto Antunes de; Pinheiro, Luiz Felipe Souza; Kolb, Rosana Marta; Bruno, Odemir Martinez
Source: Bio-Protocol. Unidade: IFSC
Subjects: IMAGEM, RECONHECIMENTO DE PADRÕES, MADEIRA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SILVA, Núbia Rosa da et al. Automatic leaf epidermis assessment using fourier descriptors in texture images. Bio-Protocol, v. 7, n. 23, p. 1-13, 2017Tradução . . Disponível em: https://doi.org/10.21769/BioProtoc.2630. Acesso em: 12 ago. 2024.
APA
Silva, N. R. da, Oliveira, M. W. da S., Almeida Filho, H. A. de, Pinheiro, L. F. S., Kolb, R. M., & Bruno, O. M. (2017). Automatic leaf epidermis assessment using fourier descriptors in texture images. Bio-Protocol, 7( 23), 1-13. doi:10.21769/BioProtoc.2630
NLM
Silva NR da, Oliveira MW da S, Almeida Filho HA de, Pinheiro LFS, Kolb RM, Bruno OM. Automatic leaf epidermis assessment using fourier descriptors in texture images [Internet]. Bio-Protocol. 2017 ; 7( 23): 1-13.[citado 2024 ago. 12 ] Available from: https://doi.org/10.21769/BioProtoc.2630
Vancouver
Silva NR da, Oliveira MW da S, Almeida Filho HA de, Pinheiro LFS, Kolb RM, Bruno OM. Automatic leaf epidermis assessment using fourier descriptors in texture images [Internet]. Bio-Protocol. 2017 ; 7( 23): 1-13.[citado 2024 ago. 12 ] Available from: https://doi.org/10.21769/BioProtoc.2630
Artigo de periodico
Automated classification of wood transverse cross-section micro-imagery from 77 commercial central-african timber species (2017)
Silva, Núbia Rosa da; De Ridder, Maaike; Baetens, Jan M.; Van den Bulcke, Jan; Rousseau, Mélissa; Bruno, Odemir Martinez; Beeckman, Hans; Van Acker, Joris; De Baets, Bernard
Source: Annals of Forest Science. Unidade: IFSC
Subjects: IMAGEM, RECONHECIMENTO DE PADRÕES, MADEIRA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SILVA, Núbia Rosa da et al. Automated classification of wood transverse cross-section micro-imagery from 77 commercial central-african timber species. Annals of Forest Science, v. 74, n. 2, p. 30-1-30-14, 2017Tradução . . Disponível em: https://doi.org/10.1007/s13595-017-0619-0. Acesso em: 12 ago. 2024.
APA
Silva, N. R. da, De Ridder, M., Baetens, J. M., Van den Bulcke, J., Rousseau, M., Bruno, O. M., et al. (2017). Automated classification of wood transverse cross-section micro-imagery from 77 commercial central-african timber species. Annals of Forest Science, 74( 2), 30-1-30-14. doi:10.1007/s13595-017-0619-0
NLM
Silva NR da, De Ridder M, Baetens JM, Van den Bulcke J, Rousseau M, Bruno OM, Beeckman H, Van Acker J, De Baets B. Automated classification of wood transverse cross-section micro-imagery from 77 commercial central-african timber species [Internet]. Annals of Forest Science. 2017 ; 74( 2): 30-1-30-14.[citado 2024 ago. 12 ] Available from: https://doi.org/10.1007/s13595-017-0619-0
Vancouver
Silva NR da, De Ridder M, Baetens JM, Van den Bulcke J, Rousseau M, Bruno OM, Beeckman H, Van Acker J, De Baets B. Automated classification of wood transverse cross-section micro-imagery from 77 commercial central-african timber species [Internet]. Annals of Forest Science. 2017 ; 74( 2): 30-1-30-14.[citado 2024 ago. 12 ] Available from: https://doi.org/10.1007/s13595-017-0619-0

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