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Proceedings Paper

Overview of machine vision methods in x-ray imaging and microtomography
Author(s): Alexey Buzmakov; Denis Zolotov; Marina Chukalina; Dmitry Nikolaev; Andrey Gladkov; Anastasia Ingacheva; Ivan Yakimchuk; Victor Asadchikov
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Paper Abstract

Digital X-ray imaging became widely used in science, medicine, non-destructive testing. This allows using modern digital images analysis for automatic information extraction and interpretation. We give short review of scientific applications of machine vision in scientific X-ray imaging and microtomography, including image processing, feature detection and extraction, images compression to increase camera throughput, microtomography reconstruction, visualization and setup adjustment.

Paper Details

Date Published: 13 April 2018
PDF: 6 pages
Proc. SPIE 10696, Tenth International Conference on Machine Vision (ICMV 2017), 1069622 (13 April 2018); doi: 10.1117/12.2309762
Show Author Affiliations
Alexey Buzmakov, Shubnikov Institute of Crystallography (Russian Federation)
Denis Zolotov, Shubnikov Institute of Crystallography (Russian Federation)
Marina Chukalina, Shubnikov Institute of Crystallography (Russian Federation)
Dmitry Nikolaev, Institute for Information Transmission Problems (Russian Federation)
Andrey Gladkov, Visillect Service (Russian Federation)
Anastasia Ingacheva, Shubnikov Institute of Crystallography (Russian Federation)
National Research Univ. Higher School of Economics (Russian Federation)
Ivan Yakimchuk, Schlumberger Moscow Research Ctr. (Russian Federation)
Victor Asadchikov, Shubnikov Institute of Crystallography (Russian Federation)


Published in SPIE Proceedings Vol. 10696:
Tenth International Conference on Machine Vision (ICMV 2017)
Antanas Verikas; Petia Radeva; Dmitry Nikolaev; Jianhong Zhou, Editor(s)

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