Improved wood species identification based on multi-view imagery of the three anatomical planes

BACKGROUND: The identification of tropical African wood species based on microscopic imagery is a challenging problem due to the heterogeneous nature of the composition of wood combined with the vast number of candidate species. Image classification methods that rely on machine learning can facilita...

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Detalles Bibliográficos
Autores principales: Rosa da Silva, Núbia, Deklerck, Victor, Baetens, Jan M., Van den Bulcke, Jan, De Ridder, Maaike, Rousseau, Mélissa, Bruno, Odemir Martinez, Beeckman, Hans, Van Acker, Joris, De Baets, Bernard, Verwaeren, Jan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9188236/
https://www.ncbi.nlm.nih.gov/pubmed/35690828
http://dx.doi.org/10.1186/s13007-022-00910-1

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9188236/
https://www.ncbi.nlm.nih.gov/pubmed/35690828
http://dx.doi.org/10.1186/s13007-022-00910-1

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