reviewWater Resources ResearchApr 1, 2014Closed access

Image processing of multiphase images obtained via X‐ray microtomography: A review

Australian National University · Oregon State University · +1 more institution

Indexed incrossrefdoaj

Abstract

Abstract Easier access to X‐ray microtomography (μCT) facilities has provided much new insight from high‐resolution imaging for various problems in porous media research. Pore space analysis with respect to functional properties usually requires segmentation of the intensity data into different classes. Image segmentation is a nontrivial problem that may have a profound impact on all subsequent image analyses. This review deals with two issues that are neglected in most of the recent studies on image segmentation: (i) focus on multiclass segmentation and (ii) detailed descriptions as to why a specific method may fail together with strategies for preventing the failure by applying suitable image enhancement…

Citation impact

644
total citations
FWCI
63.11
Percentile
100%
References
91
Citations per year

Authors

4

Topics & keywords

Keywords
  • Artificial intelligence
  • Segmentation
  • Image segmentation
  • Computer science
  • Scale-space segmentation
  • Computer vision
  • Markov random field
  • Ground truth
UN Sustainable Development Goals
  • Life in Land
No related works found for this paper.