WalnutReconstructionCodes

Der Sarkissian, Henri; Lucka, Felix

This is a collection of Python and MATLAB scripts for loading, pre-processing and reconstructing X-ray CT projection data of 42 walnuts as described in Henri Der Sarkissian, Felix Lucka, Maureen van Eijnatten, Giulia Colacicco, Sophia Bethany Coban, Kees Joost Batenburg, "A Cone-Beam X-Ray CT Data Collection Designed for Machine Learning", Sci Data 6, 215 (2019) or arXiv:1905.04787 (2019)

Additional Metadata
Note	Henri Der Sarkissian, Felix Lucka, Maureen van Eijnatten, Giulia Colacicco, Sophia Bethany Coban, Kees Joost Batenburg, "A Cone-Beam X-Ray CT Data Collection Designed for Machine Learning", Sci Data 6, 215 (2019) or arXiv:1905.04787 (2019)
Organisation	Computational Imaging
Citation APA Style AAA Style APA Style Cell Style Chicago Style Harvard Style IEEE Style MLA Style Nature Style Vancouver Style American-Institute-of-Physics Style Council-of-Science-Editors Style BibTex Format Endnote Format RIS Format CSL Format DOIs only Format	Der Sarkissian, H., & Lucka, F. (2019). WalnutReconstructionCodes.

Additional Files
View at GitHub

See Also
article A cone-beam X-ray computed tomography data collection designed for machine learning H.H. Der Sarkissian (Henri), F. Lucka (Felix), M.A.J.M. van Eijnatten (Maureen), G. Colacicco (Giulia), S.B. Coban (Sophia) and K.J. Batenburg (Joost)

WalnutReconstructionCodes

Publication

Publication

article
A cone-beam X-ray computed tomography data collection designed for machine learning

Address

CWI researchers

Questions or comments?

WalnutReconstructionCodes

Publication

Publication

article A cone-beam X-ray computed tomography data collection designed for machine learning

Workflow

Workflow

Add Content

article
A cone-beam X-ray computed tomography data collection designed for machine learning