2014
DOI: 10.1016/j.matcom.2013.07.003
|View full text |Cite
|
Sign up to set email alerts
|

Image processing for the non-destructive characterization of porous media. Application to limestones and trabecular bones

Abstract: Different image processing techniques have recently been investigated for the characterization of complex porous media, such as bones, stones and soils. Among these techniques, 3D thinning algorithms are generally used to extract a one-voxel-thick skeleton from 3D porous objects while preserving the topological information. Models based on simplified skeletons have been shown to be efficient in retrieving morphological information from large scale disordered objects not only at a global level but also at a loc… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1
1

Citation Types

0
6
0

Year Published

2016
2016
2020
2020

Publication Types

Select...
8
1

Relationship

0
9

Authors

Journals

citations
Cited by 13 publications
(6 citation statements)
references
References 32 publications
0
6
0
Order By: Relevance
“…For simplicity, the method developed earlier by the authors (Lakshmikantha, Prat, and Ledesma 2009) was chosen. Characterization of soil properties and features by means of nondestructive methods such as image processing is a growing field (Almhdie et al 2014;Aydemir, Keskin, and Drees 2004;Liu et al 2011;Liu et al 2013;Peng et al 2006; Shit, Bhunia, and Maiti 2015) not only for geometrical and surface characterization but also for more fundamental soil properties (Lu and Kaya 2013). However, the use of more sophisticated image postprocessing was beyond the scope of the work presented in this article.…”
Section: Figmentioning
confidence: 99%
“…For simplicity, the method developed earlier by the authors (Lakshmikantha, Prat, and Ledesma 2009) was chosen. Characterization of soil properties and features by means of nondestructive methods such as image processing is a growing field (Almhdie et al 2014;Aydemir, Keskin, and Drees 2004;Liu et al 2011;Liu et al 2013;Peng et al 2006; Shit, Bhunia, and Maiti 2015) not only for geometrical and surface characterization but also for more fundamental soil properties (Lu and Kaya 2013). However, the use of more sophisticated image postprocessing was beyond the scope of the work presented in this article.…”
Section: Figmentioning
confidence: 99%
“…The median filter consists of replacing a pixel value by the median value of a selected neighborhood pattern. The median smoothing technique is used in studies dealing with contaminant hydrology or porous media characterization, mainly with radii from 1 to 3 pixels (i.e., from 3 × 3-to 7 × 7-pixel squares) [29,34,65,66]. Nonetheless, filtering techniques are sometimes counter indicated, because they can have a negative effect on the sharp edges, i.e., they introduce diffusion, which affects the resolution and the identification of edges [67,68].…”
Section: First Experiment: Simple Drainage-imbibition Cyclementioning
confidence: 99%
“…Recent advances in imaging techniques, especially the 3D micro X-ray computed tomography (XCT) technique, have made it possible to characterise microstructures for various composite materials with high resolution but without destruction of the materials. For example, it has been applied to characterisation of steel fibres in self-compacting concrete [2], measurement of porosity and aggregate properties in porous concrete [3], shape and surface analyses of coarse aggregates in normal and lightweight concrete [4,5], and evaluation of microarchitectures of limestone and trabecular bones [6]. In situ XCT tests, which scan 3D internal microstructures under progressive loading and environmental factors so that the structural damage and fracture evolution can be examined in relation to external factors, have also been rapidly Figure 2: Propagation of internal microcracks in a CT slice as the load increases.…”
Section: Introductionmentioning
confidence: 99%