XRCT image processing for sand fabric reconstruction

We explore computationally efficient techniques to improve the XRCT image processing of low resolution and very noisy images for use in reconstruction of the fabric of densely packed, natural sand deposits. To this end we evaluate an image preprocessing workflow that incorporates image denoising, si...

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Veröffentlicht in:	Granular matter Jg. 26; H. 1; S. 15
Hauptverfasser:	Tan, Peng, Wijesuriya, Hasitha Sithadara, Sitar, Nicholas
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Berlin/Heidelberg Springer Berlin Heidelberg 01.02.2024 Springer Nature B.V
Schlagworte:	Algorithms Avatars Clay Complex Fluids and Microfluidics Engineering Fluid Dynamics Engineering Thermodynamics Evolution Fields (mathematics) Foundations Geoengineering Grains Granular materials Heat and Mass Transfer Hydraulics Image processing Image quality Image reconstruction Image resolution Image segmentation Industrial Chemistry/Chemical Engineering Materials Science Original Report Physics Physics and Astronomy Sand Sand & gravel Signal to noise ratio Soft and Granular Matter Spatial data Workflow X-rays Hidden Markov random field Non-local mean filter Level sets Image super-resolution Weighted expectation maximization algorithm
ISSN:	1434-5021, 1434-7636
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Abstract	We explore computationally efficient techniques to improve the XRCT image processing of low resolution and very noisy images for use in reconstruction of the fabric of densely packed, natural sand deposits. To this end we evaluate an image preprocessing workflow that incorporates image denoising, single image super resolution, image segmentation and level-set (LS) reconstruction. We show that, although computationally intensive, the Non-Local Mean (NLM) filter improves the quality of XRCT images of granular material by increasing the signal-to-noise ratio without impairing visible structures in the images, and outperforms more traditional local filters. We then explore an image super-resolution technique based on sparse signal representation and show that it performs well with noisy data and improves the subsequent stage of binarization. The image binarization is performed using a Hidden Markov Random Fields (HMRF) with Weighted Expectation Maximization (WEM) algorithm which takes the spatial information into account and performs well on high resolution images, however it still struggles with low quality images. We then use the level set method to define the grain geometry and show that the Distance Regularized LS Evolution (DRLSE) is an efficient approach for data sets with large numbers of grains. Finally, we introduce a penalty term into the evolution of the LS function, to address the issue of adhesion of much finer particles, such as clay, on the surface of the reconstructed avatars, while maintaining the main morphological details of the grains.
AbstractList	We explore computationally efficient techniques to improve the XRCT image processing of low resolution and very noisy images for use in reconstruction of the fabric of densely packed, natural sand deposits. To this end we evaluate an image preprocessing workflow that incorporates image denoising, single image super resolution, image segmentation and level-set (LS) reconstruction. We show that, although computationally intensive, the Non-Local Mean (NLM) filter improves the quality of XRCT images of granular material by increasing the signal-to-noise ratio without impairing visible structures in the images, and outperforms more traditional local filters. We then explore an image super-resolution technique based on sparse signal representation and show that it performs well with noisy data and improves the subsequent stage of binarization. The image binarization is performed using a Hidden Markov Random Fields (HMRF) with Weighted Expectation Maximization (WEM) algorithm which takes the spatial information into account and performs well on high resolution images, however it still struggles with low quality images. We then use the level set method to define the grain geometry and show that the Distance Regularized LS Evolution (DRLSE) is an efficient approach for data sets with large numbers of grains. Finally, we introduce a penalty term into the evolution of the LS function, to address the issue of adhesion of much finer particles, such as clay, on the surface of the reconstructed avatars, while maintaining the main morphological details of the grains.
ArticleNumber	15
Author	Sitar, Nicholas Tan, Peng Wijesuriya, Hasitha Sithadara
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Cites_doi	10.1016/j.jmps.2016.02.021 10.1109/TIP.2010.2069690 10.1016/j.jmps.2017.10.003 10.1109/TPAMI.2008.79 10.1016/j.conbuildmat.2020.121468 10.1109/TASSP.1978.1163154 10.1109/42.906424 10.1016/j.cpc.2020.107670 10.1109/TPAMI.2010.25 10.1109/42.511747 10.1016/j.compgeo.2017.07.016 10.1109/42.585758 10.1680/jgeot.21.00230 10.21105/joss.02286 10.4310/jdg/1214438998 10.1016/0021-9991(88)90002-2 10.1108/02644400610689884 10.1007/s10035-013-0460-6 10.1680/jgeot.19.P.212 10.1002/cpa.20132 10.1002/aic.16581 10.1007/s11042-015-3124-1 10.1109/TSMC.1979.4310076 10.1680/geot.1979.29.1.47 10.1016/0167-2789(92)90242-F 10.1109/TIP.2010.2050625 10.1680/geot.8.T.037 10.5281/zenodo.3592082 10.7551/mitpress/7503.003.0105 10.1109/CVPR.2003.1211539 10.1109/CVPR.2004.1315043 10.1109/ICCV.1998.710815 10.1109/ICIP.1996.560778 10.1109/CVPR.2008.4587659 10.4028/www.scientific.net/AMM.568-570.659 10.1061/9780784413029.043
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References	Wu, Wang, Russell, Cheng (CR4) 2021; 71 Guillemaud, Brady (CR38) 1997; 16 Zhao, Zhao (CR6) 2021; 259 CR18 Tamadondar, de Martïn, Rasmuson (CR3) 2019; 65 Stamati, Andö, Roubin, Cailletaud, Wiebicke, Pinzon, Couture, Hurley, Caulk, Caillerie (CR10) 2020; 5 CR15 CR14 Wang, Nie, Gong, Liang (CR7) 2021; 268 Vlahinić, Andö, Viggiani, Andrade (CR8) 2014; 16 CR35 Garcia, Latham, Xiang, Harrison (CR2) 2009; 59 CR34 CR11 CR33 Fu, Hu, Zhou (CR12) 2017; 91 Kawamoto, Andö, Viggiani, Andrade (CR41) 2016; 91 Huisken (CR42) 1984; 20 CR31 Wright, Yang, Ganesh, Sastry, Ma (CR26) 2008; 31 Cundall, Strack (CR1) 1979; 29 Wells, Grimson, Kikinis, Jolesz (CR37) 1996; 15 Osher, Sethian (CR39) 1988; 79 CR29 CR27 CR25 CR24 CR23 Rudin, Osher, Fatemi (CR28) 1992; 60 CR22 Hou, Andrews (CR21) 1978; 26 CR43 Xu, Chang, Fan, Zhao, Wu, Wang, Zhang (CR19) 2017 CR20 Zhang, Brady, Smith (CR17) 2001; 20 Li, Xu, Gui, Fox (CR40) 2010; 19 Kawamoto, Andö, Viggiani, Andrade (CR9) 2018; 111 Donoho (CR32) 2006; 59 Garcia, Ando, Viggiani, Sitar (CR13) 2022 Yang, Wright, Huang, Ma (CR16) 2010; 19 Kim, Kwon (CR30) 2010; 32 Zhao, Nezami, Hashash, Ghaboussi (CR5) 2006 Otsu (CR36) 1979; 9 1368_CR27 D Zhao (1368_CR5) 2006 R Guillemaud (1368_CR38) 1997; 16 S Osher (1368_CR39) 1988; 79 1368_CR25 R Fu (1368_CR12) 2017; 91 1368_CR24 MR Tamadondar (1368_CR3) 2019; 65 M Wu (1368_CR4) 2021; 71 1368_CR23 1368_CR22 1368_CR43 1368_CR20 X Garcia (1368_CR2) 2009; 59 I Vlahinić (1368_CR8) 2014; 16 R Kawamoto (1368_CR9) 2018; 111 KI Kim (1368_CR30) 2010; 32 C Li (1368_CR40) 2010; 19 PA Cundall (1368_CR1) 1979; 29 O Stamati (1368_CR10) 2020; 5 DL Donoho (1368_CR32) 2006; 59 N Otsu (1368_CR36) 1979; 9 H Hou (1368_CR21) 1978; 26 S Zhao (1368_CR6) 2021; 259 1368_CR29 Y Zhang (1368_CR17) 2001; 20 1368_CR15 1368_CR14 1368_CR35 LI Rudin (1368_CR28) 1992; 60 1368_CR34 1368_CR11 1368_CR33 X Wang (1368_CR7) 2021; 268 J Xu (1368_CR19) 2017 1368_CR31 R Kawamoto (1368_CR41) 2016; 91 G Huisken (1368_CR42) 1984; 20 EF Garcia (1368_CR13) 2022 J Wright (1368_CR26) 2008; 31 WM Wells (1368_CR37) 1996; 15 1368_CR18 J Yang (1368_CR16) 2010; 19
References_xml	– ident: CR22 – volume: 91 start-page: 1 year: 2016 end-page: 13 ident: CR41 article-title: Level set discrete element method for three-dimensional computations with triaxial case study publication-title: J. Mech. Phys. Solids doi: 10.1016/j.jmps.2016.02.021 – ident: CR18 – ident: CR43 – volume: 19 start-page: 3243 issue: 12 year: 2010 end-page: 3254 ident: CR40 article-title: Distance regularized level set evolution and its application to image segmentation publication-title: IEEE Trans. Image Process. doi: 10.1109/TIP.2010.2069690 – volume: 111 start-page: 375 year: 2018 end-page: 392 ident: CR9 article-title: All you need is shape: predicting shear banding in sand with ls-dem publication-title: J. Mech. Phys. Solids doi: 10.1016/j.jmps.2017.10.003 – ident: CR14 – volume: 31 start-page: 210 issue: 2 year: 2008 end-page: 227 ident: CR26 article-title: Robust face recognition via sparse representation publication-title: IEEE Trans. Pattern Anal. Mach. Intell. doi: 10.1109/TPAMI.2008.79 – volume: 268 year: 2021 ident: CR7 article-title: Random generation of convex aggregates for dem study of particle shape effect publication-title: Constr. Build. Mater. doi: 10.1016/j.conbuildmat.2020.121468 – volume: 26 start-page: 508 issue: 6 year: 1978 end-page: 517 ident: CR21 article-title: Cubic splines for image interpolation and digital filtering publication-title: IEEE Trans. Acoust. Speech Signal Process. doi: 10.1109/TASSP.1978.1163154 – volume: 20 start-page: 45 issue: 1 year: 2001 end-page: 57 ident: CR17 article-title: Segmentation of brain MR images through a hidden Markov random field model and the expectation-maximization algorithm publication-title: IEEE Trans. Med. Imaging doi: 10.1109/42.906424 – volume: 259 year: 2021 ident: CR6 article-title: SudoDEM: unleashing the predictive power of the discrete element method on simulation for non-spherical granular particles publication-title: Comput. Phys. Commun. doi: 10.1016/j.cpc.2020.107670 – volume: 32 start-page: 1127 issue: 6 year: 2010 end-page: 1133 ident: CR30 article-title: Single-image super-resolution using sparse regression and natural image prior publication-title: IEEE Trans. Pattern Anal. Mach. Intell. doi: 10.1109/TPAMI.2010.25 – volume: 15 start-page: 429 issue: 4 year: 1996 end-page: 442 ident: CR37 article-title: Adaptive segmentation of MRI data publication-title: IEEE Trans. Med. Imaging doi: 10.1109/42.511747 – volume: 91 start-page: 179 year: 2017 end-page: 191 ident: CR12 article-title: Discrete element modeling of crushable sands considering realistic particle shape effect publication-title: Comput. Geotech. doi: 10.1016/j.compgeo.2017.07.016 – ident: CR33 – volume: 16 start-page: 238 issue: 3 year: 1997 end-page: 251 ident: CR38 article-title: Estimating the bias field of MR images publication-title: IEEE Trans. Med. Imaging doi: 10.1109/42.585758 – year: 2022 ident: CR13 article-title: Influence of depositional fabric on mechanical properties of naturally deposited sands (in press) publication-title: Geotechnique doi: 10.1680/jgeot.21.00230 – ident: CR35 – ident: CR29 – volume: 5 start-page: 2286 issue: 51 year: 2020 ident: CR10 article-title: Spam: software for practical analysis of materials publication-title: J. Open Source Softw. doi: 10.21105/joss.02286 – ident: CR25 – ident: CR27 – volume: 20 start-page: 237 issue: 1 year: 1984 end-page: 266 ident: CR42 article-title: Flow by mean curvature of convex surfaces into spheres publication-title: J. Differ. Geom. doi: 10.4310/jdg/1214438998 – ident: CR23 – volume: 79 start-page: 12 issue: 1 year: 1988 end-page: 49 ident: CR39 article-title: Fronts propagating with curvature-dependent speed: algorithms based on Hamilton–Jacobi formulations publication-title: J. Comput. Phys. doi: 10.1016/0021-9991(88)90002-2 – year: 2006 ident: CR5 article-title: Three-dimensional discrete element simulation for granular materials publication-title: Eng. Comput. doi: 10.1108/02644400610689884 – volume: 16 start-page: 9 issue: 1 year: 2014 end-page: 21 ident: CR8 article-title: Towards a more accurate characterization of granular media: extracting quantitative descriptors from tomographic images publication-title: Granul. Matter doi: 10.1007/s10035-013-0460-6 – volume: 71 start-page: 714 issue: 8 year: 2021 end-page: 727 ident: CR4 article-title: Dem modelling of mini-triaxial test based on one-to-one mapping of sand particles publication-title: Gëotechnique doi: 10.1680/jgeot.19.P.212 – volume: 59 start-page: 797 issue: 6 year: 2006 end-page: 829 ident: CR32 article-title: For most large underdetermined systems of linear equations the minimal 1-norm solution is also the sparsest solution publication-title: Commun. Pure Appl. Math. J. Issued Courant Inst. Math. Sci. doi: 10.1002/cpa.20132 – ident: CR15 – ident: CR31 – ident: CR11 – volume: 65 start-page: 16581 issue: 6 year: 2019 ident: CR3 article-title: Agglomerate breakage and adhesion upon impact with complex-shaped particles publication-title: AIChE J. doi: 10.1002/aic.16581 – year: 2017 ident: CR19 article-title: Super-resolution via adaptive combination of color channels publication-title: Multimed. Tools Appl. doi: 10.1007/s11042-015-3124-1 – ident: CR34 – volume: 9 start-page: 62 issue: 1 year: 1979 end-page: 66 ident: CR36 article-title: A threshold selection method from gray-level histograms publication-title: IEEE Trans. Syst. Man Cybern. doi: 10.1109/TSMC.1979.4310076 – volume: 29 start-page: 47 issue: 1 year: 1979 end-page: 65 ident: CR1 article-title: A discrete numerical model for granular assemblies publication-title: Geotechnique doi: 10.1680/geot.1979.29.1.47 – volume: 60 start-page: 259 issue: 1–4 year: 1992 end-page: 268 ident: CR28 article-title: Nonlinear total variation based noise removal algorithms publication-title: Physica D doi: 10.1016/0167-2789(92)90242-F – volume: 19 start-page: 2861 issue: 11 year: 2010 end-page: 2873 ident: CR16 article-title: Image super-resolution via sparse representation publication-title: IEEE Trans. Image Process. doi: 10.1109/TIP.2010.2050625 – ident: CR24 – volume: 59 start-page: 779 issue: 9 year: 2009 end-page: 784 ident: CR2 article-title: A clustered overlapping sphere algorithm to represent real particles in discrete element modelling publication-title: Geotechnique doi: 10.1680/geot.8.T.037 – ident: CR20 – volume: 65 start-page: 16581 issue: 6 year: 2019 ident: 1368_CR3 publication-title: AIChE J. doi: 10.1002/aic.16581 – volume: 20 start-page: 45 issue: 1 year: 2001 ident: 1368_CR17 publication-title: IEEE Trans. Med. Imaging doi: 10.1109/42.906424 – ident: 1368_CR29 – volume: 111 start-page: 375 year: 2018 ident: 1368_CR9 publication-title: J. Mech. Phys. Solids doi: 10.1016/j.jmps.2017.10.003 – ident: 1368_CR31 – year: 2006 ident: 1368_CR5 publication-title: Eng. Comput. doi: 10.1108/02644400610689884 – volume: 16 start-page: 9 issue: 1 year: 2014 ident: 1368_CR8 publication-title: Granul. Matter doi: 10.1007/s10035-013-0460-6 – ident: 1368_CR34 doi: 10.5281/zenodo.3592082 – ident: 1368_CR33 doi: 10.7551/mitpress/7503.003.0105 – ident: 1368_CR25 doi: 10.1109/CVPR.2003.1211539 – volume: 20 start-page: 237 issue: 1 year: 1984 ident: 1368_CR42 publication-title: J. Differ. Geom. doi: 10.4310/jdg/1214438998 – ident: 1368_CR23 doi: 10.1109/CVPR.2004.1315043 – ident: 1368_CR43 – ident: 1368_CR18 doi: 10.1109/ICCV.1998.710815 – ident: 1368_CR20 doi: 10.1109/ICIP.1996.560778 – volume: 71 start-page: 714 issue: 8 year: 2021 ident: 1368_CR4 publication-title: Gëotechnique doi: 10.1680/jgeot.19.P.212 – ident: 1368_CR35 – ident: 1368_CR14 – volume: 59 start-page: 779 issue: 9 year: 2009 ident: 1368_CR2 publication-title: Geotechnique doi: 10.1680/geot.8.T.037 – volume: 91 start-page: 1 year: 2016 ident: 1368_CR41 publication-title: J. Mech. Phys. Solids doi: 10.1016/j.jmps.2016.02.021 – volume: 268 year: 2021 ident: 1368_CR7 publication-title: Constr. Build. Mater. doi: 10.1016/j.conbuildmat.2020.121468 – volume: 16 start-page: 238 issue: 3 year: 1997 ident: 1368_CR38 publication-title: IEEE Trans. Med. Imaging doi: 10.1109/42.585758 – volume: 26 start-page: 508 issue: 6 year: 1978 ident: 1368_CR21 publication-title: IEEE Trans. Acoust. Speech Signal Process. doi: 10.1109/TASSP.1978.1163154 – volume: 60 start-page: 259 issue: 1–4 year: 1992 ident: 1368_CR28 publication-title: Physica D doi: 10.1016/0167-2789(92)90242-F – volume: 19 start-page: 3243 issue: 12 year: 2010 ident: 1368_CR40 publication-title: IEEE Trans. Image Process. doi: 10.1109/TIP.2010.2069690 – volume: 19 start-page: 2861 issue: 11 year: 2010 ident: 1368_CR16 publication-title: IEEE Trans. Image Process. doi: 10.1109/TIP.2010.2050625 – year: 2022 ident: 1368_CR13 publication-title: Geotechnique doi: 10.1680/jgeot.21.00230 – volume: 32 start-page: 1127 issue: 6 year: 2010 ident: 1368_CR30 publication-title: IEEE Trans. Pattern Anal. Mach. Intell. doi: 10.1109/TPAMI.2010.25 – ident: 1368_CR24 doi: 10.7551/mitpress/7503.003.0105 – ident: 1368_CR22 doi: 10.1109/CVPR.2008.4587659 – volume: 259 year: 2021 ident: 1368_CR6 publication-title: Comput. Phys. Commun. doi: 10.1016/j.cpc.2020.107670 – volume: 5 start-page: 2286 issue: 51 year: 2020 ident: 1368_CR10 publication-title: J. Open Source Softw. doi: 10.21105/joss.02286 – volume: 15 start-page: 429 issue: 4 year: 1996 ident: 1368_CR37 publication-title: IEEE Trans. Med. Imaging doi: 10.1109/42.511747 – ident: 1368_CR15 – year: 2017 ident: 1368_CR19 publication-title: Multimed. Tools Appl. doi: 10.1007/s11042-015-3124-1 – ident: 1368_CR27 doi: 10.4028/www.scientific.net/AMM.568-570.659 – ident: 1368_CR11 doi: 10.1061/9780784413029.043 – volume: 91 start-page: 179 year: 2017 ident: 1368_CR12 publication-title: Comput. Geotech. doi: 10.1016/j.compgeo.2017.07.016 – volume: 9 start-page: 62 issue: 1 year: 1979 ident: 1368_CR36 publication-title: IEEE Trans. Syst. Man Cybern. doi: 10.1109/TSMC.1979.4310076 – volume: 29 start-page: 47 issue: 1 year: 1979 ident: 1368_CR1 publication-title: Geotechnique doi: 10.1680/geot.1979.29.1.47 – volume: 31 start-page: 210 issue: 2 year: 2008 ident: 1368_CR26 publication-title: IEEE Trans. Pattern Anal. Mach. Intell. doi: 10.1109/TPAMI.2008.79 – volume: 59 start-page: 797 issue: 6 year: 2006 ident: 1368_CR32 publication-title: Commun. Pure Appl. Math. J. Issued Courant Inst. Math. Sci. doi: 10.1002/cpa.20132 – volume: 79 start-page: 12 issue: 1 year: 1988 ident: 1368_CR39 publication-title: J. Comput. Phys. doi: 10.1016/0021-9991(88)90002-2
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SubjectTerms	Algorithms Avatars Clay Complex Fluids and Microfluidics Engineering Fluid Dynamics Engineering Thermodynamics Evolution Fields (mathematics) Foundations Geoengineering Grains Granular materials Heat and Mass Transfer Hydraulics Image processing Image quality Image reconstruction Image resolution Image segmentation Industrial Chemistry/Chemical Engineering Materials Science Original Report Physics Physics and Astronomy Sand Sand & gravel Signal to noise ratio Soft and Granular Matter Spatial data Workflow X-rays
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Title	XRCT image processing for sand fabric reconstruction
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