A two-step registration-classification approach to automated segmentation of multimodal images for high-throughput greenhouse plant phenotyping

BACKGROUND: Automated segmentation of large amount of image data is one of the major bottlenecks in high-throughput plant phenotyping. Dynamic optical appearance of developing plants, inhomogeneous scene illumination, shadows and reflections in plant and background regions complicate automated segme...

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Detalles Bibliográficos
Autores principales: Henke, Michael, Junker, Astrid, Neumann, Kerstin, Altmann, Thomas, Gladilin, Evgeny
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Methodology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7346525/
https://www.ncbi.nlm.nih.gov/pubmed/32670387
http://dx.doi.org/10.1186/s13007-020-00637-x

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7346525/
https://www.ncbi.nlm.nih.gov/pubmed/32670387
http://dx.doi.org/10.1186/s13007-020-00637-x

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