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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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| I publikationen: | Plant Methods |
|---|---|
| Huvudupphovsmän: | , , , , |
| Materialtyp: | Artigo |
| Språk: | Inglês |
| Publicerad: |
BioMed Central
2020
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| Ämnen: | |
| Länkar: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7346525/ https://ncbi.nlm.nih.gov/pubmed/32670387 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s13007-020-00637-x |
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