3D optical flow for large CT data of materials microstructures
- We compute three-dimensional displacement vector fields to estimate the deformation of microstructural data sets in mechanical tests. For this, we extend the well-known optical flow by Brox et al. to three dimensions, with special focus on the discretization of nonlinear terms. We evaluate our method first by synthetically deforming foams and comparing against this ground truth and second with data sets of samples that underwent real mechanical tests. Our results are compared to those from state-of-the-art algorithms in materials science and medical image registration. By a thorough evaluation, we show that our proposed method is able to resolve the displacement best among all chosen comparison methods.
Author: | Tessa NogatzORCiD, Claudia Redenbach, Katja Schladitz |
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URN: | urn:nbn:de:hbz:386-kluedo-80575 |
DOI: | https://doi.org/10.1111/str.12412 |
ISSN: | 1475-1305 |
Parent Title (English): | Strain |
Publisher: | Wiley |
Document Type: | Article |
Language of publication: | English |
Date of Publication (online): | 2024/04/17 |
Year of first Publication: | 2022 |
Publishing Institution: | Rheinland-Pfälzische Technische Universität Kaiserslautern-Landau |
Date of the Publication (Server): | 2024/04/17 |
Issue: | 58/3 |
Page Number: | 22 |
Source: | https://onlinelibrary.wiley.com/doi/10.1111/str.12412 |
Faculties / Organisational entities: | Kaiserslautern - Fachbereich Mathematik |
DDC-Cassification: | 5 Naturwissenschaften und Mathematik / 510 Mathematik |
Collections: | Open-Access-Publikationsfonds |
Licence (German): | Zweitveröffentlichung |