Integrating Machine/Deep Learning Methods and Filtering Techniques for Reliable Mineral Phase Segmentation of 3D X-ray Computed Tomography Images

Integrating Machine/Deep Learning Methods and Filtering Techniques for Reliable Mineral Phase Segmentation of 3D X-ray Computed Tomography Images

X-ray CT imaging provides a 3D view of a sample and is a powerful tool for investigating the internal features of porous rock. Reliable phase segmentation in these images is highly necessary but, like any other digital rock imaging technique, is time-consuming, labor-intensive, and subjective. Combi...

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Bibliographic Details
Main Authors: Parisa Asadi, Lauren E. Beckingham
Format: Article
Language:English
Published: MDPI AG 2021-07-01
Series:Energies
Subjects:
3D X-ray computed tomography
U-Net convolutional neural network
feed-forward neural network
random forest
3D imaging of shale samples
Mancos
Online Access:https://www.mdpi.com/1996-1073/14/15/4595

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https://www.mdpi.com/1996-1073/14/15/4595

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