Deep learning for improving non-destructive grain mapping in 3D

Deep learning for improving non-destructive grain mapping in 3D

Laboratory X-ray diffraction contrast tomography (LabDCT) is a novel imaging technique for non-destructive 3D characterization of grain structures. An accurate grain reconstruction critically relies on precise segmentation of diffraction spots in the LabDCT images. The conventional method utilizing...

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Bibliographic Details
Main Authors: H. Fang, E. Hovad, Y. Zhang, L. K. H. Clemmensen, B. Kjaer Ersbøll, D. Juul Jensen
Format: Article
Language:English
Published: International Union of Crystallography 2021-09-01
Series:IUCrJ
Subjects:
grain mapping
x-ray diffraction
tomography
deep learning
computer vision
background noise
spot segmentation
labdct
Online Access:http://scripts.iucr.org/cgi-bin/paper?S2052252521005480

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