Comparison of Methods to Segment Variable-Contrast XCT Images of Methane-Bearing Sand Using U-Nets Trained on Single Dataset Sub-Volumes

Comparison of Methods to Segment Variable-Contrast XCT Images of Methane-Bearing Sand Using U-Nets Trained on Single Dataset Sub-Volumes

Methane (CH<sub>4</sub>) hydrate dissociation and CH<sub>4</sub> release are potential geohazards currently investigated using X-ray computed tomography (XCT). Image segmentation is an important data processing step for this type of research. However, it is often time consumi...

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Bibliographic Details
Main Authors: Fernando J. Alvarez-Borges, Oliver N. F. King, Bangalore N. Madhusudhan, Thomas Connolley, Mark Basham, Sharif I. Ahmed
Format: Article
Language:English
Published: MDPI AG 2022-12-01
Series:Methane
Subjects:
U-Net
methane hydrates
microtomography
sediment microstructure
semantic segmentation
Online Access:https://www.mdpi.com/2674-0389/2/1/1

Internet

https://www.mdpi.com/2674-0389/2/1/1

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