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On Acquisition Parameters and Processing Techniques for Interparticle Contact Detection in Granular Packings Using Synchrotron Computed Tomography.
Alvarez-Borges, Fernando; Ahmed, Sharif; Atwood, Robert C.
Afiliação
  • Alvarez-Borges F; Diamond Light Source Ltd., Harwell Science & Innovation Campus, Didcot OX11 0DE, UK.
  • Ahmed S; Faculty of Engineering and Physical Sciences, University of Southampton, Southampton SO17 1BJ, UK.
  • Atwood RC; Diamond Light Source Ltd., Harwell Science & Innovation Campus, Didcot OX11 0DE, UK.
J Imaging ; 8(5)2022 May 12.
Article em En | MEDLINE | ID: mdl-35621899
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.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies Idioma: En Revista: J Imaging Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Reino Unido

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies Idioma: En Revista: J Imaging Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Reino Unido