The University of Southampton
University of Southampton Institutional Repository

On acquisition parameters and processing techniques for interparticle contact detection in granular packings using synchrotron computed tomography

On acquisition parameters and processing techniques for interparticle contact detection in granular packings using synchrotron computed tomography
On acquisition parameters and processing techniques for interparticle contact detection in granular packings using synchrotron computed tomography

X-ray computed tomography (XCT) is regularly employed in geomechanics to non-destructively measure the solid and pore fractions of soil and rock from reconstructed 3D images. With the increasing availability of high-resolution XCT imaging systems, researchers now seek to measure microfabric parameters such as the number and area of interparticle contacts, which can then be used to inform soil behaviour modelling techniques. However, recent research has evidenced that conventional image processing methods consistently overestimate the number and area of interparticle contacts, mainly due to acquisition-driven image artefacts. The present study seeks to address this issue by systematically assessing the role of XCT acquisition parameters in the accurate detection of interparticle contacts. To this end, synchrotron XCT has been applied to a hexagonal close-packed arrangement of glass pellets with and without a prescribed separation between lattice layers. Different values for the number of projections, exposure time, and rotation range have been evaluated. Conventional global grey value thresholding and novel U-Net segmentation methods have been assessed, followed by local refinements at the presumptive contacts, as per recently proposed contact detection routines. The effect of the different acquisition set-ups and segmentation techniques on contact detection performance is presented and discussed, and optimised workflows are proposed.

computed tomography, contact detection, granular materials, segmentation, soil
2313-433X
Alvarez-Borges, Fernando
5512cdfd-6ad3-475f-8aec-2fc767607314
Ahmed, Sharif
e7181acb-a5ad-4712-b6bd-4c4dfbf6a9dc
Atwood, Robert C.
853929bc-679d-47bb-8ba8-acd139fc857e
Alvarez-Borges, Fernando
5512cdfd-6ad3-475f-8aec-2fc767607314
Ahmed, Sharif
e7181acb-a5ad-4712-b6bd-4c4dfbf6a9dc
Atwood, Robert C.
853929bc-679d-47bb-8ba8-acd139fc857e

Alvarez-Borges, Fernando, Ahmed, Sharif and Atwood, Robert C. (2022) On acquisition parameters and processing techniques for interparticle contact detection in granular packings using synchrotron computed tomography. Journal of Imaging, 8 (5), [135]. (doi:10.3390/jimaging8050135).

Record type: Article

Abstract

X-ray computed tomography (XCT) is regularly employed in geomechanics to non-destructively measure the solid and pore fractions of soil and rock from reconstructed 3D images. With the increasing availability of high-resolution XCT imaging systems, researchers now seek to measure microfabric parameters such as the number and area of interparticle contacts, which can then be used to inform soil behaviour modelling techniques. However, recent research has evidenced that conventional image processing methods consistently overestimate the number and area of interparticle contacts, mainly due to acquisition-driven image artefacts. The present study seeks to address this issue by systematically assessing the role of XCT acquisition parameters in the accurate detection of interparticle contacts. To this end, synchrotron XCT has been applied to a hexagonal close-packed arrangement of glass pellets with and without a prescribed separation between lattice layers. Different values for the number of projections, exposure time, and rotation range have been evaluated. Conventional global grey value thresholding and novel U-Net segmentation methods have been assessed, followed by local refinements at the presumptive contacts, as per recently proposed contact detection routines. The effect of the different acquisition set-ups and segmentation techniques on contact detection performance is presented and discussed, and optimised workflows are proposed.

Text
jimaging-08-00135-v2 - Version of Record
Available under License Creative Commons Attribution.
Download (5MB)

More information

Accepted/In Press date: 5 May 2022
Published date: 12 May 2022
Keywords: computed tomography, contact detection, granular materials, segmentation, soil

Identifiers

Local EPrints ID: 468296
URI: http://eprints.soton.ac.uk/id/eprint/468296
ISSN: 2313-433X
PURE UUID: de6056fa-eb53-4b66-a50c-4d1be574d3cc
ORCID for Fernando Alvarez-Borges: ORCID iD orcid.org/0000-0002-6940-9918

Catalogue record

Date deposited: 09 Aug 2022 17:00
Last modified: 30 Nov 2024 03:08

Export record

Altmetrics

Contributors

Author: Fernando Alvarez-Borges ORCID iD
Author: Sharif Ahmed
Author: Robert C. Atwood

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×