Segmentation of X-ray computed tomography images of porous materials : A crucial step for characterization and quantitative analysis of pore structures

@inproceedings{Iassonov2009SegmentationOX,
  title={Segmentation of X-ray computed tomography images of porous materials : A crucial step for characterization and quantitative analysis of pore structures},
  author={Pavel P. Iassonov and Thomas Gebrenegus and Markus Tuller},
  year={2009}
}
[1] Nondestructive imaging methods such as X-ray computed tomography (CT) yield high-resolution, three-dimensional representations of pore space and fluid distribution within porous materials. Steadily increasing computational capabilities and easier access to X-ray CT facilities have contributed to a recent surge in microporous media research with objectives ranging from theoretical aspects of fluid and interfacial dynamics at the pore scale to practical applications such as dense nonaqueous… CONTINUE READING
Highly Cited
This paper has 77 citations. REVIEW CITATIONS

Citations

Publications citing this paper.
Showing 1-10 of 39 extracted citations

78 Citations

01020'12'14'16'18
Citations per Year
Semantic Scholar estimates that this publication has 78 citations based on the available data.

See our FAQ for additional information.

References

Publications referenced by this paper.
Showing 1-10 of 104 references

Techniques for image enhancement and segmentation of tomographic images of porous materials

A. P. Sheppard, R. M. Sok, H. Averdunk
Physica A, • 2004
View 8 Excerpts
Highly Influenced

Image Thresholding by Indicator Kriging

IEEE Trans. Pattern Anal. Mach. Intell. • 1999
View 13 Excerpts
Highly Influenced

Application of segmentation for correction of intensity bias in X-ray CT images

P. Iassonov, M. Tuller
Vadose Zone J., • 2009
View 4 Excerpts
Highly Influenced

A new method for image segmentation

Computer Vision, Graphics, and Image Processing • 1989
View 5 Excerpts
Highly Influenced

Using X-ray computed tomography in hydrology : systems , resolutions , and limitations

D. Wildenschilda, J. W. Hopmansc, +3 authors B. S. B. Christensena
2002
View 2 Excerpts
Highly Influenced

Quantitative analysis of reservoir rocks by microfocus X-ray computerised tomography, Sediment

M. Van Geet, R. Swennen, M. Wevers
Geol., 132, • 2000
View 1 Excerpt
Highly Influenced

Minimum Error Thresholding Based on Two Dimensional Histogram

2009 WRI World Congress on Computer Science and Information Engineering • 2009

Similar Papers

Loading similar papers…