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Automated classification of wood transverse cross-section micro-imagery from 77 commercial Central-African timber species

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Keywords
RECOGNITION SYSTEM, IDENTIFICATION, HARDWOOD, AFZELIA, ANATOMY, FORESTS, Commercial timber species, Democratic Republic of Congo, Image analysis, Pattern recognition, Transverse cross-section u Wood anatomy

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Citation

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MLA
Rosa da Silva, Núbia, et al. “Automated Classification of Wood Transverse Cross-Section Micro-Imagery from 77 Commercial Central-African Timber Species.” ANNALS OF FOREST SCIENCE, vol. 74, no. 2, 2017, doi:10.1007/s13595-017-0619-0.
APA
Rosa da Silva, N., De Ridder, M., Baetens, J., Van den Bulcke, J., Rousseau, M., Bruno, O. M., … De Baets, B. (2017). Automated classification of wood transverse cross-section micro-imagery from 77 commercial Central-African timber species. ANNALS OF FOREST SCIENCE, 74(2). https://doi.org/10.1007/s13595-017-0619-0
Chicago author-date
Rosa da Silva, Núbia, Maaike De Ridder, Jan Baetens, Jan Van den Bulcke, Melissa Rousseau, Odemir Martinez Bruno, Hans Beeckman, Joris Van Acker, and Bernard De Baets. 2017. “Automated Classification of Wood Transverse Cross-Section Micro-Imagery from 77 Commercial Central-African Timber Species.” ANNALS OF FOREST SCIENCE 74 (2). https://doi.org/10.1007/s13595-017-0619-0.
Chicago author-date (all authors)
Rosa da Silva, Núbia, Maaike De Ridder, Jan Baetens, Jan Van den Bulcke, Melissa Rousseau, Odemir Martinez Bruno, Hans Beeckman, Joris Van Acker, and Bernard De Baets. 2017. “Automated Classification of Wood Transverse Cross-Section Micro-Imagery from 77 Commercial Central-African Timber Species.” ANNALS OF FOREST SCIENCE 74 (2). doi:10.1007/s13595-017-0619-0.
Vancouver
1.
Rosa da Silva N, De Ridder M, Baetens J, Van den Bulcke J, Rousseau M, Bruno OM, et al. Automated classification of wood transverse cross-section micro-imagery from 77 commercial Central-African timber species. ANNALS OF FOREST SCIENCE. 2017;74(2).
IEEE
[1]
N. Rosa da Silva et al., “Automated classification of wood transverse cross-section micro-imagery from 77 commercial Central-African timber species,” ANNALS OF FOREST SCIENCE, vol. 74, no. 2, 2017.
@article{8519530,
  articleno    = {{74}},
  author       = {{Rosa da Silva, Núbia and De Ridder, Maaike and Baetens, Jan and Van den Bulcke, Jan and Rousseau, Melissa and Bruno, Odemir Martinez and Beeckman, Hans and Van Acker, Joris and De Baets, Bernard}},
  issn         = {{1286-4560}},
  journal      = {{ANNALS OF FOREST SCIENCE}},
  keywords     = {{RECOGNITION SYSTEM,IDENTIFICATION,HARDWOOD,AFZELIA,ANATOMY,FORESTS,Commercial timber species,Democratic Republic of Congo,Image analysis,Pattern recognition,Transverse cross-section u Wood anatomy}},
  language     = {{eng}},
  number       = {{2}},
  pages        = {{14}},
  title        = {{Automated classification of wood transverse cross-section micro-imagery from 77 commercial Central-African timber species}},
  url          = {{http://dx.doi.org/10.1007/s13595-017-0619-0}},
  volume       = {{74}},
  year         = {{2017}},
}

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