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The interpretation of X-ray computed microtomography images of rocks as an application of volume image processing and analysis

J Kaczmarczyk, M Dohnalik, J Zalewska and Veerle Cnudde UGent (2010) WSCG 2010 : communication papers proceedings. p.23-30
abstract
X-ray computed microtomography (CMT) is a non-destructive method of investigating internal structure of examined objects. During the reconstruction of CMT measurement data, large volume images are generated. Therefore, the image processing and analysis are very important steps in CMT data interpretation. The first step in analyzing the rocks is image segmentation. The differences in density are shown on the reconstructed image as the differences in gray level of voxel, so the proper threshold operation must be carried out. As a result, the different mineral phases and pores can be separated at the image. Segmented and binarized image is the base for further operations which depend on the aim of research. Numerical analysis gives information about the pore shapes and volumes as well as connections between pores in the pore network. The image may also be used in numerical physics simulation (for example fluid flow simulation), but before that it has to be filtered and resampled. These operations are very important, because if performed poorly, they may lead to rupture the pore network. The aim of this paper is to present authors’ methodology of CMT image processing and analysis and to show problems occurring during these processes. The image processing of two rock samples CMT image will be presented.
Please use this url to cite or link to this publication:
author
organization
year
type
conference (proceedingsPaper)
publication status
published
subject
keyword
volume image, CMT, image analysis, tomography, segmentation, GEOSCIENCES
in
WSCG 2010 : communication papers proceedings
editor
Vaclav Skala
pages
23 - 30
publisher
Union Agency Science Press
place of publication
Pilsen, Czech Republic
conference name
18th International conference on Computer Graphics, visualization and Computer Vision (WSCG 2010)
conference location
Pilsen, Czech Republic
conference start
2010-02-01
conference end
2010-02-04
Web of Science type
Proceedings Paper
Web of Science id
000309143400004
ISBN
9788086943879
language
English
UGent publication?
yes
classification
P1
copyright statement
I have transferred the copyright for this publication to the publisher
id
1020385
handle
http://hdl.handle.net/1854/LU-1020385
alternative location
http://wscg.zcu.cz/WSCG2010/Papers_2010/!_2010_Short-proceedings.pdf
date created
2010-08-10 14:52:26
date last changed
2017-01-02 09:52:15
@inproceedings{1020385,
  abstract     = {X-ray computed microtomography (CMT) is a non-destructive method of investigating internal structure of examined objects. During the reconstruction of CMT measurement data, large volume images are generated. Therefore, the image processing and analysis are very important steps in CMT data interpretation. The first step in analyzing the rocks is image segmentation. The differences in density are shown on the reconstructed image as the differences in gray level of voxel, so the proper threshold operation must be carried out. As a result, the different mineral phases and pores can be separated at the image. Segmented and binarized image is the base for further operations which depend on the aim of research. Numerical analysis gives information about the pore shapes and volumes as well as connections between pores in the pore network. The image may also be used in numerical physics simulation (for example fluid flow simulation), but before that it has to be filtered and resampled. These operations are very important, because if performed poorly, they may lead to rupture the pore network. The aim of this paper is to present authors{\textquoteright} methodology of CMT image processing and analysis and to show problems occurring during these processes. The image processing of two rock samples CMT image will be presented.},
  author       = {Kaczmarczyk, J and Dohnalik, M and Zalewska, J and Cnudde, Veerle},
  booktitle    = {WSCG 2010 : communication papers proceedings},
  editor       = {Skala, Vaclav},
  isbn         = {9788086943879},
  keyword      = {volume image,CMT,image analysis,tomography,segmentation,GEOSCIENCES},
  language     = {eng},
  location     = {Pilsen, Czech Republic},
  pages        = {23--30},
  publisher    = {Union Agency Science Press},
  title        = {The interpretation of X-ray computed microtomography images of rocks as an application of volume image processing and analysis},
  url          = {http://wscg.zcu.cz/WSCG2010/Papers\_2010/!\_2010\_Short-proceedings.pdf},
  year         = {2010},
}

Chicago
Kaczmarczyk, J, M Dohnalik, J Zalewska, and Veerle Cnudde. 2010. “The Interpretation of X-ray Computed Microtomography Images of Rocks as an Application of Volume Image Processing and Analysis.” In WSCG 2010 : Communication Papers Proceedings, ed. Vaclav Skala, 23–30. Pilsen, Czech Republic: Union Agency Science Press.
APA
Kaczmarczyk, J., Dohnalik, M., Zalewska, J., & Cnudde, V. (2010). The interpretation of X-ray computed microtomography images of rocks as an application of volume image processing and analysis. In V. Skala (Ed.), WSCG 2010 : communication papers proceedings (pp. 23–30). Presented at the 18th International conference on Computer Graphics, visualization and Computer Vision (WSCG 2010), Pilsen, Czech Republic: Union Agency Science Press.
Vancouver
1.
Kaczmarczyk J, Dohnalik M, Zalewska J, Cnudde V. The interpretation of X-ray computed microtomography images of rocks as an application of volume image processing and analysis. In: Skala V, editor. WSCG 2010 : communication papers proceedings. Pilsen, Czech Republic: Union Agency Science Press; 2010. p. 23–30.
MLA
Kaczmarczyk, J, M Dohnalik, J Zalewska, et al. “The Interpretation of X-ray Computed Microtomography Images of Rocks as an Application of Volume Image Processing and Analysis.” WSCG 2010 : Communication Papers Proceedings. Ed. Vaclav Skala. Pilsen, Czech Republic: Union Agency Science Press, 2010. 23–30. Print.