A convolutional neural network approach to calibrating the rotation axis for X-ray computed tomography

Yang, X.; De Carlo, F.; Phatak, C.; Gürsoy, D.

doi:10.1107/S1600577516020117

Journal of Synchrotron Radiation Journal of
Synchrotron Radiation

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Figure 6
Rotation axes predicted by different methods using 50 slices of shale data as input. The CNN, mirrored image registration based method and entropy based method are shown from left to right. The dashed green line represents the ground truth.

JOURNAL OF
SYNCHROTRON
RADIATION

ISSN: 1600-5775

Volume 24| Part 2| March 2017| Pages 469-475

https://doi.org/10.1107/S1600577516020117

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