Please use this identifier to cite or link to this item: http://hdl.handle.net/1893/33252
Appears in Collections:Computing Science and Mathematics Journal Articles
Peer Review Status: Refereed
Title: X-ray microtomography: A porosity-based thresholding method to improve soil pore network characterization?
Author(s): Beckers, Eleonore
Plougonven, Erwan
Roisin, Christian
Hapca, Simona
Léonard, Angelique
Degré, Aurore
Contact Email: simona.hapca@stir.ac.uk
Keywords: X-ray microtomography
Soil structure
Threshold
Image processing
Binarisation
Visible-porosity
Issue Date: May-2014
Date Deposited: 8-Sep-2021
Citation: Beckers E, Plougonven E, Roisin C, Hapca S, Léonard A & Degré A (2014) X-ray microtomography: A porosity-based thresholding method to improve soil pore network characterization?. Geoderma, 219-220, pp. 145-154. https://doi.org/10.1016/j.geoderma.2014.01.004
Abstract: X-ray microtomography, through quantification of soil structure at the microscale, could greatly facilitate the current understanding of soil hydrodynamic behaviour. However, binarisation method and processing choices are subjective and can have a strong impact on results and conclusions. In this study, we test a new method based on the porosity detectable by X-ray microtomography, while validation is achieved through comparison of soil microtomogram information with soil physical measurements. These measurements consist of water retention and unsaturated hydraulic conductivity using two different soil populations with only structural differences. To assess the porosity-based method performances, we compare it to four other methods, namely the global method of Otsu and three recent soil-dedicated local methods. The robustness of the porosity-based method is also tested in regard to different pre-processing procedures. In this paper we demonstrate that soil segmentation through a porosity-based method is an interesting issue. Indeed, it is less demanding in terms of time and computational requirements than its alternatives, and combines robustness and performances broadly comparable with the recent local methods.
DOI Link: 10.1016/j.geoderma.2014.01.004
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