Abstract
Recent computational and technological advances in X-ray computed tomography (CT) provide exciting new means for nondestructive, three-dimensional imaging of soil-water-root processes with projects ranging from visualization and characterization of biofilms to quantification of effects of root-induced compaction on rhizosphere hydraulic properties. In contrast to these breath-taking technological improvements, the development and evaluation of appropriate segmentation methods for transformation of three-dimensional grayscale X-ray CT data into a discrete form that allows accurate separation of solid, liquid, and vapor phases for quantitative description of the soil-water-root continuum and provides the basis for modeling of static and dynamic system processes appears to lag behind. This chapter reviews the state-of-the-art and recent developments in image segmentation, covering global and locally adaptive two-phase as well as more complex multiphase algorithms. The need for true three-dimensional segmentation is demonstrated and potential techniques for pre-segmentation enhancement of X-ray CT data are discussed.
Original language | English (US) |
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Title of host publication | Soil- Water- Root Processes |
Subtitle of host publication | Advances in Tomography and Imaging |
Publisher | Wiley |
Pages | 157-182 |
Number of pages | 26 |
ISBN (Electronic) | 9780891189596 |
ISBN (Print) | 9780891189589 |
DOIs | |
State | Published - Jan 1 2015 |
Keywords
- Global adaptive algorithm
- Locally adaptive algorithm
- Porous material
- Segmentation algorithm
- Soil science research
- Three-dimensional grayscale X-ray CT data
- X-ray computed tomography
ASJC Scopus subject areas
- General Engineering
- General Agricultural and Biological Sciences