Resolution enhancement and segmentation of polar bubbly ice micro CT scans via 3D convolutional neural network

Accurate segmentation of 3D micro CT scans is a key step in the process of analysis of the microstructure of porous materials. In polar ice core studies, the environmental effects on the firn column could be detected if the microstructure is digitized accurately. The most challenging task is to obta...

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Bibliographic Details

Published in:	Applied Computing and Geosciences
Main Authors:	Faramarz Bagherzadeh, Johannes Freitag, Udo Frese, Frank Wilhelms
Format:	Article
Language:	English
Published:	Elsevier 2024-09-01
Subjects:	Micro CT 3D image segmentation Deep learning 3D unet FCN Ice core
Online Access:	http://www.sciencedirect.com/science/article/pii/S2590197424000405