Digital rock segmentation from micro-CT/SEM data by using convolutional neural network


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Description

Pore-scale digital images are usually obtained from micro computed tomography (micro-CT) data that has been segmented into void and grain space. Image segmentation is a critical process for digital rock analyses that can influence pore-scale characterisation studies and/or the numerical simulation of petrophysical properties. This project is to study on the sandstone micro-CT image segmentation by using convolutional neural network.

Datasets


Usage Information

Author

Collaborators

  • Ryan Armstrong (University of New South Wales)
  • Peyman Mostaghimi (University of New South Wales)

Created

Dec. 28, 2019

License

ODC-BY 1.0

Digital Object Identifier

10.17612/97rm-te06

Data Citation

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