Optimal measurements strategy in micro-tomography: amount of data and representative elementary volume assessment and application to porous media

A. Khafizov; M. Grigoriev; A. Ingacheva; D. Bogdanov; V. Asadchikov

doi:10.1117/12.2556293

31 January 2020 Optimal measurements strategy in micro-tomography: amount of data and representative elementary volume assessment and application to porous media

A. Khafizov, M. Grigoriev, A. Ingacheva, D. Bogdanov, V. Asadchikov

Author Affiliations +

Proceedings Volume 11433, Twelfth International Conference on Machine Vision (ICMV 2019); 114332Y (2020) https://doi.org/10.1117/12.2556293
Event: Twelfth International Conference on Machine Vision, 2019, Amsterdam, Netherlands

Abstract

Nowadays, microtomography experiments require a lot of time to collect data and process it. In order to observe realtime processes (e.g. fluid flow through porous media), measurements and calculations should be carried out fast enough, therefore optimization task should be solved. Two approaches were developed to solve it. The first one is associated with the search of optimal experimental parameters: number of projection and the quality of the detector. The second one is involved with representative elementary volume determination. Moreover, this determination technique is described in general terms and can be applied not only for porous media studies. Both algorithms are based on comparison methods of pore sizes distribution histograms. On this purposes, apart from common Earth Mover’s Distance (Wasserstein Distance) metric, a new Mean Vector Distance (MVD) metric was designed and described in this paper.

Citation Download Citation

A. Khafizov, M. Grigoriev, A. Ingacheva, D. Bogdanov, and V. Asadchikov "Optimal measurements strategy in micro-tomography: amount of data and representative elementary volume assessment and application to porous media", Proc. SPIE 11433, Twelfth International Conference on Machine Vision (ICMV 2019), 114332Y (31 January 2020); https://doi.org/10.1117/12.2556293

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available