Zeng, Ling; Jing, Linhai; Chen, Lei; Jun Feng (2021): UNET-based CE and the user's manual. Version 1. 4TU.ResearchData. software. https://doi.org/10.4121/16571061.v1

Software

x choose version: version 2 - 2022-01-17 (latest)

• Other Earth Sciences

Backscattered imaging, fully convolutional network, geological thin section, optical microphotograph, Phenocryst extraction, porphyry

CC0

RefWorks, BibTeX, Reference Manager, Endnote, DataCite, NLM, DC, CFF

by Ling Zeng , Linhai Jing , Lei Chen , Jun Feng

UNET-based CE is developed to segment crystals from large -area images using U-Net technique (a fully convolutional network). It can extract crystals in a superbly quick and highly efficient manner (e.g., about 2 mins for 600~700 crystals)

• 2021-09-07 first online, published, posted

4TU.ResearchData

• National Science Foundation of China (No. 42002294)
• Mechanism and Geological Significance of Cambrian Microbial Dolomite in the Western Luxi Block (grant code 41972108) [more info...] National Natural Science Foundation of China
• Sichuan Science and Technology Program (No. 2021YJ0351)

Chengdu Technological University