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A robust approach for determination of the macro-porous volume fraction of soils with X-ray computed tomography and an image processing protocol

A robust approach for determination of the macro-porous volume fraction of soils with X-ray computed tomography and an image processing protocol
A robust approach for determination of the macro-porous volume fraction of soils with X-ray computed tomography and an image processing protocol
Soil structure is known to govern aspects of hydration, aeration, faunal activity and root growth, which influence plant development. Industrial X-ray computed tomography (?CT) has been used for over 15 years for the elucidation of soil structure, leading to a number of valuable insights. However, there is evidence of a need for more robust, repeatable methods for segmentation of significant structural features, which are essentially free from operator interference. We develop in this paper an automatable approach using a seeded region growth (SRG) algorithm for segmentation of the connected, macroporous domain of homogenized, real soils. Furthermore, we demonstrate methods for user-independent selection of seed point and tolerance values, leading to a fully automated segmentation regime. The stability of this approach to different seed locations has been assessed, as well as the impact of X-ray target and filter choice upon mitigation of artifacts, which are particularly detrimental to accuracy of SRG methods. Estimated porosity derived using this method has been compared with values from a gravimetric protocol and histogram thresholding approaches. It is seen that substantial differences exist in porosity quantified by such methods, with these differences probably the result of varying categorization of different porosity domains.
1351-0754
298-307
Keyes, Samuel
ed3ee62b-e257-4b92-922c-023b232e8145
Boardman, R.
5818d677-5732-4e8a-a342-7164dbb10df1
Marchant, Alan
3e54d51c-53b0-4df0-b428-2e73b071ee8e
Roose, Tiina
3581ab5b-71e1-4897-8d88-59f13f3bccfe
Sinclair, I.
6005f6c1-f478-434e-a52d-d310c18ade0d
Keyes, Samuel
ed3ee62b-e257-4b92-922c-023b232e8145
Boardman, R.
5818d677-5732-4e8a-a342-7164dbb10df1
Marchant, Alan
3e54d51c-53b0-4df0-b428-2e73b071ee8e
Roose, Tiina
3581ab5b-71e1-4897-8d88-59f13f3bccfe
Sinclair, I.
6005f6c1-f478-434e-a52d-d310c18ade0d

Keyes, Samuel, Boardman, R., Marchant, Alan, Roose, Tiina and Sinclair, I. (2013) A robust approach for determination of the macro-porous volume fraction of soils with X-ray computed tomography and an image processing protocol. European Journal of Soil Science, 64 (3), 298-307. (doi:10.1111/ejss.12019).

Record type: Article

Abstract

Soil structure is known to govern aspects of hydration, aeration, faunal activity and root growth, which influence plant development. Industrial X-ray computed tomography (?CT) has been used for over 15 years for the elucidation of soil structure, leading to a number of valuable insights. However, there is evidence of a need for more robust, repeatable methods for segmentation of significant structural features, which are essentially free from operator interference. We develop in this paper an automatable approach using a seeded region growth (SRG) algorithm for segmentation of the connected, macroporous domain of homogenized, real soils. Furthermore, we demonstrate methods for user-independent selection of seed point and tolerance values, leading to a fully automated segmentation regime. The stability of this approach to different seed locations has been assessed, as well as the impact of X-ray target and filter choice upon mitigation of artifacts, which are particularly detrimental to accuracy of SRG methods. Estimated porosity derived using this method has been compared with values from a gravimetric protocol and histogram thresholding approaches. It is seen that substantial differences exist in porosity quantified by such methods, with these differences probably the result of varying categorization of different porosity domains.

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More information

e-pub ahead of print date: 18 February 2013
Published date: June 2013
Organisations: Bioengineering Group, Engineering Science Unit

Identifiers

Local EPrints ID: 355796
URI: http://eprints.soton.ac.uk/id/eprint/355796
ISSN: 1351-0754
PURE UUID: fb30b1d4-3634-40e0-847e-be7ceb9bcbe8
ORCID for Samuel Keyes: ORCID iD orcid.org/0000-0002-4129-2228
ORCID for Tiina Roose: ORCID iD orcid.org/0000-0001-8710-1063

Catalogue record

Date deposited: 05 Sep 2013 12:52
Last modified: 17 Dec 2019 01:43

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