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UNET-based CE and the user's manual

software

posted on 07.09.2021, 16:44 by Ling ZengLing 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)

Funding

National Science Foundation of China (No. 42002294)

Mechanism and Geological Significance of Cambrian Microbial Dolomite in the Western Luxi Block

National Natural Science Foundation of China

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Sichuan Science and Technology Program (No. 2021YJ0351)

History

Publisher

4TU.ResearchData

Organizations

Chengdu Technological University

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Other institutions

Keywords

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

Licence

CC0