A Semi-automated Segmentation of Soil X-ray Microtomography
- Mandava, Ajay K.
- Regentova, Emma E.
- Berli, Markus
Publication date
December 2015
DOI Publisher
The Authors. Published by Elsevier B.V.Abstract
AbstractSoils are complex environments comprising various biological (roots, water, air etc) and physical constituents (minerals, aggregates, etc). In this paper, we develop a semi-automated method for segmenting X-ray Micro-tomography (XMT) images to voids, soil, and root regions; in addition, we propose various metrics to automatically quantify soil aggregation and compaction properties in a specified spatial location. Metrics derived for 2D are generalized also for 3D. Experiments are performed on synchrotron-based XMT imagery obtained at the Advance Light Source of the Lawrence Berkeley National Laboratory (LBNL)
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