Cargando…
Comparison of feature point detectors for multimodal image registration in plant phenotyping
With the introduction of multi-camera systems in modern plant phenotyping new opportunities for combined multimodal image analysis emerge. Visible light (VIS), fluorescence (FLU) and near-infrared images enable scientists to study different plant traits based on optical appearance, biochemical compo...
Autores principales: | Henke, Michael, Junker, Astrid, Neumann, Kerstin, Altmann, Thomas, Gladilin, Evgeny |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6768447/ https://www.ncbi.nlm.nih.gov/pubmed/31568494 http://dx.doi.org/10.1371/journal.pone.0221203 |
Ejemplares similares
-
Comparison and extension of three methods for automated registration of multimodal plant images
por: Henke, Michael, et al.
Publicado: (2019) -
A two-step registration-classification approach to automated segmentation of multimodal images for high-throughput greenhouse plant phenotyping
por: Henke, Michael, et al.
Publicado: (2020) -
Automated Alignment of Multi-Modal Plant Images Using Integrative Phase Correlation Approach
por: Henke, Michael, et al.
Publicado: (2018) -
Deep Learning Based Greenhouse Image Segmentation and Shoot Phenotyping (DeepShoot)
por: Narisetti, Narendra, et al.
Publicado: (2022) -
Semi-automated Root Image Analysis (saRIA)
por: Narisetti, Narendra, et al.
Publicado: (2019)