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.
Yufu Niu (University of New South Wales)
Dec. 28, 2019
The downloadable archive contains all project data; the size of the archive file for this project is 55 MB.Download