Paper
7 February 2011 Monitoring plant growth using high resolution micro-CT images
Author Affiliations +
Proceedings Volume 7877, Image Processing: Machine Vision Applications IV; 78770W (2011) https://doi.org/10.1117/12.876719
Event: IS&T/SPIE Electronic Imaging, 2011, San Francisco Airport, California, United States
Abstract
A multidisciplinary research conducted at the Oak Ridge National Laboratory aims at understanding the molecular controls of partitioning, transport and fate of carbon fixed by photosynthesis in plants and its correlation with other measured plant system properties. Ultimately, we intend to develop a modeling framework to assess, correlate and predict as to which spatiotemporal changes in system dynamics are key to predicting emergent properties of system. Within this research, this paper relates to the quantitative morphological imaging of the main structures forming a plant (stem, roots, and leaves), their internal sub-structures, and changes occurring overtime.
© (2011) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Vincent C. Paquit, Shaun S. Gleason, and Udaya C. Kalluri "Monitoring plant growth using high resolution micro-CT images", Proc. SPIE 7877, Image Processing: Machine Vision Applications IV, 78770W (7 February 2011); https://doi.org/10.1117/12.876719
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Cited by 6 scholarly publications.
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KEYWORDS
3D modeling

Image segmentation

X-ray imaging

Image resolution

X-rays

Carbon

3D image processing

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