Growth Signatures of Rosette Plants from Time-Lapse Video

@article{Dellen2015GrowthSO,
  title={Growth Signatures of Rosette Plants from Time-Lapse Video},
  author={Babette Dellen and Hanno Scharr and Carme Torras},
  journal={IEEE/ACM Transactions on Computational Biology and Bioinformatics},
  year={2015},
  volume={12},
  pages={1470-1478}
}
  • Babette Dellen, Hanno Scharr, Carme Torras
  • Published in
    IEEE/ACM Transactions on…
    2015
  • Biology, Medicine, Computer Science
  • Plant growth is a dynamic process, and the precise course of events during early plant development is of major interest for plant research. In this work, we investigate the growth of rosette plants by processing time-lapse videos of growing plants, where we use Nicotiana tabacum (tobacco) as a model plant. In each frame of the video sequences, potential leaves are detected using a leaf-shape model. These detections are prone to errors due to the complex shape of plants and their changing… CONTINUE READING

    Create an AI-powered research feed to stay up to date with new papers like this posted to ArXiv

    Citations

    Publications citing this paper.
    SHOWING 1-10 OF 18 CITATIONS

    Computer Vision Problems in 3D Plant Phenotyping

    VIEW 3 EXCERPTS
    CITES BACKGROUND
    HIGHLY INFLUENCED

    Leveraging Image Analysis for High-Throughput Plant Phenotyping

    VIEW 1 EXCERPT
    CITES METHODS

    Joint Multi-Leaf Segmentation, Alignment, and Tracking for Fluorescence Plant Videos

    VIEW 1 EXCERPT
    CITES BACKGROUND

    A cognitive architecture for automatic gardening

    VIEW 1 EXCERPT
    CITES BACKGROUND

    Machine Vision System for 3D Plant Phenotyping

    VIEW 2 EXCERPTS
    CITES BACKGROUND

    Unsupervised Learning Method for Plant and Leaf Segmentation

    VIEW 1 EXCERPT
    CITES BACKGROUND

    References

    Publications referenced by this paper.