Automatic stomatal segmentation based on Delaunay-Rayleigh frequency distance

Automatic stomatal segmentation based on Delaunay-Rayleigh frequency distance (2020)

Authors:
Autor USP: BRUNO, ODEMIR MARTINEZ - IFSC
Unidade: IFSC
DOI: 10.3390/plants9111613
Subjects: RECONHECIMENTO DE PADRÕES; FISIOLOGIA VEGETAL
Keywords: Stomatal segmentation; Image segmentation; Delaunay-Rayleigh frequency
Language: Inglês
Imprenta:
- Publisher place: Basel
- Date published: 2020
Source:
- Título do periódico: Plants
- ISSN: 2223-7747
- Volume/Número/Paginação/Ano: v. 9, n. 11, p. 1613-1-1613-17, Nov. 2020

Informações sobre o DOI: 10.3390/plants9111613 (Fonte: oaDOI API)

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ABNT

CARRASCO, Miguel et al. Automatic stomatal segmentation based on Delaunay-Rayleigh frequency distance. Plants, v. No 2020, n. 11, p. 1613-1-1613-17, 2020Tradução . . Disponível em: https://doi.org/10.3390/plants9111613. Acesso em: 24 abr. 2024.
APA

Carrasco, M., Toledo, P. A., Velázquez, R., & Bruno, O. M. (2020). Automatic stomatal segmentation based on Delaunay-Rayleigh frequency distance. Plants, No 2020( 11), 1613-1-1613-17. doi:10.3390/plants9111613
NLM

Carrasco M, Toledo PA, Velázquez R, Bruno OM. Automatic stomatal segmentation based on Delaunay-Rayleigh frequency distance [Internet]. Plants. 2020 ; No 2020( 11): 1613-1-1613-17.[citado 2024 abr. 24 ] Available from: https://doi.org/10.3390/plants9111613
Vancouver

Carrasco M, Toledo PA, Velázquez R, Bruno OM. Automatic stomatal segmentation based on Delaunay-Rayleigh frequency distance [Internet]. Plants. 2020 ; No 2020( 11): 1613-1-1613-17.[citado 2024 abr. 24 ] Available from: https://doi.org/10.3390/plants9111613