Leaf segmentation in plant phenotyping: a collation study-Reference-Cited by-同舟云学术

Leaf segmentation in plant phenotyping: a collation study

Published:2015-12-12 Issue:4 Volume:27 Page:585-606
ISSN:0932-8092
Container-title:Machine Vision and Applications
language:en
Short-container-title:Machine Vision and Applications

Author:

Scharr Hanno,Minervini Massimo,French Andrew P.,Klukas Christian,Kramer David M.,Liu Xiaoming,Luengo Imanol,Pape Jean-Michel,Polder Gerrit,Vukadinovic Danijela,Yin Xi,Tsaftaris Sotirios A.

Funder

EU Seventh Framework Programme

Phenotyping Network

German-Plant-Phenotyping Network

US Department of Energy

Publisher

Springer Science and Business Media LLC

Subject

Computer Science Applications,Computer Vision and Pattern Recognition,Hardware and Architecture,Software

Link

http://link.springer.com/content/pdf/10.1007/s00138-015-0737-3.pdf

Reference62 articles.

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3. Aksoy, E., Abramov, A., Wörgötter, F., Scharr, H., Fischbach, A., Dellen, B.: Modeling leaf growth of rosette plants using infrared stereo image sequences. Comput. Electron. Agric. 110, 78–90 (2015)

4. Alenyà, G., Dellen, B., Torras, C.: 3D modelling of leaves from color and ToF data for robotized plant measuring. In: IEEE International Conference on Robotics and Automation, pp. 3408–3414 (2011)

5. Arvidsson, S., Pérez-Rodríguez, P., Mueller-Roeber, B.: A growth phenotyping pipeline for Arabidopsis thaliana integrating image analysis and rosette area modeling for robust quantification of genotype effects. New Phytol 191(3), 895–907 (2011)

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