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41 to 50 of 74 Results
Image enhancement code: time-resolved tomograms of EICP application using 3D U-net
Feb 7, 2023 - Publication: Machine learning assists in increasing the time resolution of X-ray tomography
Lee, Dongwon; Steeb, Holger, 2023, "Image enhancement code: time-resolved tomograms of EICP application using 3D U-net", https://doi.org/10.18419/DARUS-2991, DaRUS, V1
This dataset contains the codes to reproduce the results of "Time resolved micro-XRCT dataset of Enzymatically Induced Calcite Precipitation (EICP) in sintered glass bead columns", cf. https://doi.org/10.18419/darus-2227. The code takes "low-dose" images as an input where the images contain many artifacts and noise as a trade-off of a fast data acq...
data.7z
Feb 7, 2023 - Image enhancement code: time-resolved tomograms of EICP application using 3D U-net
7Z Archive - 417.9 MB - MD5: ab58b9cb6a76de1e09c5baa790eada71
Data for training and examples for pre/post-processing
example.log
Feb 7, 2023 - Image enhancement code: time-resolved tomograms of EICP application using 3D U-net
Plain Text - 155 B - MD5: 770701e71b665603a9e61292c7824135
An example of training log file (all the adopted parameters used during training are saved in this log)
Frac_Unet_postprocess.py
Feb 7, 2023 - Image enhancement code: time-resolved tomograms of EICP application using 3D U-net
Python Source Code - 5.7 KB - MD5: ee7d79e5e2f70aabaae7bae129627301
Post-processing code to create enhanced images
Frac_Unet_preprocess.py
Feb 7, 2023 - Image enhancement code: time-resolved tomograms of EICP application using 3D U-net
Python Source Code - 2.4 KB - MD5: 9b63a89131ad52136b92531a6b7f5e71
Pre-processing code to change the images into available shape and format
Frac_Unet_training.py
Feb 7, 2023 - Image enhancement code: time-resolved tomograms of EICP application using 3D U-net
Python Source Code - 7.0 KB - MD5: 10e1540fe5afda49692b2437eb245903
Training code in order to train the model
img_seg.py
Feb 7, 2023 - Image enhancement code: time-resolved tomograms of EICP application using 3D U-net
Python Source Code - 17.5 KB - MD5: 3a13bef31e567313fc8ef766bc00d377
Customized image library in order to save and load the image data
readme.txt
Feb 7, 2023 - Image enhancement code: time-resolved tomograms of EICP application using 3D U-net
Plain Text - 2.1 KB - MD5: d378b2f2e6e39b343cb17bd2522c6b7d
Detailed description of operation with codes
unet3D_v1.py
Feb 7, 2023 - Image enhancement code: time-resolved tomograms of EICP application using 3D U-net
Python Source Code - 3.8 KB - MD5: c84b9fd76ff97e75a91ccde5cc1395e2
3D U-net model
Fracture network segmentation
Jul 7, 2021 - Publication: Detecting micro fractures with X-ray computed tomography
Lee, Dongwon; Nikolaos, Karadimitriou; Steeb, Holger, 2021, "Fracture network segmentation", https://doi.org/10.18419/DARUS-1847, DaRUS, V1
This dataset contains the codes to reproduce the five different segmentation results of the paper Lee et al (2021). The original dataset before applying these segmentation codes could be found in Ruf & Steeb (2020). The adopted segmentation methods in order to identify the micro fractures within the original dataset are the Local threshold, Sato, C...
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