journal article·2010-02

Determination of the fibre orientation in composites using the structure tensor and local X-ray transform

M. Krause, J. M. Hausherr, B. Burgeth, C. Herrmann, W. Krenkel

Journal of Materials Science· Volume 45· Issue 4
Publisher page

Abstract

Computed tomography is a non-destructive testing technique based on X-ray absorption that permits the 3D-visualisation of materials at micron-range resolutions. In this article, computed tomography is used to investigate fibre orientation and fibre position in various fibre-reinforced materials such as ceramic matrix composites, glass fibre-reinforced plastics or reinforced concrete. The goal of this article is to determine the quantitative orientation of fibres in fibre-reinforced materials. For this purpose, a mathematical technique based on the structure tensor is used to determine the local orientation of fibres. The structure tensor is easy to implement and results in a fast algorithm relying solely on local properties of the given reconstruction. In addition, the local X-ray transform is used to denoise fibres and to segment them from the matrix.
Source: openaire · Quality: candidate unverified · Source record ↗

Research context

OpenAlex topics: Medical Imaging Techniques and Applications · Optical measurement and interference techniques · Image and Object Detection Techniques

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

References (31)

Show source-provided references
1. Stock SR (2009) Micro computed tomography. CRC Press, Boca Raton, Fl
2. Buffiére JY, Maire E, Cloetens P, Lormand G, Fougeres R (1999) Acta Mater 47:161310.1016/S1359-6454(99)00024-5 ↗
3. Buffière JY, Savelli S, Maire E (2000) Characterisation of MMCp and cast aluminium alloys. X-ray tomography in materials science. Hermes Science Publications, Paris, pp 103–114
4. Martín-Herrero J, Germain C (2007) Carbon 45:124210.1016/j.carbon.2007.01.021 ↗
5. Babout L, Marrow TJ, Engelberg D, Withers PJ (2006) Mater Sci Techol 22(9):106810.1179/174328406X114090 ↗
6. Hausherr JM, Fischer F, Krenkel W, Altstädt V (2006) In: Proceedings of conference on damage in composite material, Stuttgart. https://doi.org/www.ndt.net/article/cdcm2006/papers/hausherr.pdf . Accessed 24 Aug 2009
7. Hausherr J, Krenkel W (2008) Ceramics matrix composites. Wiley VCH, Weinheim, pp 261–28610.1002/9783527622412.ch11 ↗
8. Herrmann C, Hausherr JM, Krenkel W (2009) In: Verbundwerkstoffe, Wiley VCH, New York, pp 249–25610.1002/9783527627110.ch34 ↗
9. Feldkamp LA, Davis LC, Kress JW (1984) J Opt Soc Am 1(6):61210.1364/JOSAA.1.000612 ↗
10. Natterer F (1986) The mathematics of computerized tomography. Teubner, Wiley, Stuttgart, Chichester10.1007/978-3-663-01409-6 ↗
11. Natterer F, Wübbeling F (2001) Mathematical methods in image reconstruction. SIAM, Philadelphia, PA10.1137/1.9780898718324 ↗
12. Kak AC, Slaney M (2001) Principles of computerized tomographic imaging. SIAM, Roberto’Malley, USA10.1137/1.9780898719277 ↗
13. Hausherr JM, Meinhardt J, Hassink B, Herrmann C, Daimer J, Raether G, Krenkel W (2009) In: Proceedings of 11th international conference on European ceramic society, ECERS, Krakow
14. Kastner J, Pfeifer F, Heinzl C, Freytag R (2008) In: DACH-Jahrestagung 2008 in St. Gallen, https://doi.org/www.ndt.net/article/dgzfp2008/Inhalt/di3a1.pdf . Accessed 26 Aug 2009
15. Robb K, Wirjadi O, Schladitz K (2007) In: HIS, pp 320–32510.5040/9798400687372.0020 ↗
16. Lampert CH, Wirjadi O (2006) IEEE Trans Image Process 15(11):350110.1109/TIP.2006.877501 ↗
17. Knutsson H (1989) In: The 6th Scandinavian conference on image analysis, Oulu, Finland, p 244, Report LiTH-ISY-I-1019, Computer Vision Laboratory, Linköping University, Sweden
18. Van Ginkel M (2002) Image analysis using orientation space based on steerable filters, Delft University of Technology, PhD thesis
19. Van Kempen GMP, van den Brink N, van Vliet LJ, Van Ginkel M, Verbeek PW, Blonk H (1999) In: Proceedings of the 11th Scandinavian conference on image analysis SCIA’99, Kangerlussuaq, Greenland, pp 447–455
20. Axelsson M (2008) In: ICPR, IEEE, pp 1–410.1109/ICPR.2008.4761631 ↗
21. Mulat C, Donias M, Baylou P, Vignoles G, Germain C (2008) J Electron Imaging 17:03110810.1117/1.2957605 ↗
22. Zeyun Y, Bajaj C (2006) In: IEEE international conference on image processing, pp 2513–251610.1109/ICIP.2006.312804 ↗
23. Krause M, Alles RM, Burgeth B, Weickert J (2008) Retinal vessel detection via second derivative of local radon transform. Universität des Saarlandes Technical Report No. 212. https://doi.org/www.math.uni-sb.de/service/preprints/preprint212.pdf . Accessed 28 Oct 2009
24. Louis AK (1996) Inverse Probl 12:17510.1088/0266-5611/12/2/005 ↗
25. Cormack AM (1963) J Appl Phys 34:272210.1063/1.1729798 ↗
26. Hounsfield GN (1973) Computerized transverse axial scanning (tomography): part 1. description of system. Br J Radiol 46:101610.1259/0007-1285-46-552-1016 ↗
27. Louis AK (2009) Inverse problems and imaging. https://doi.org/www.num.uni-sb.de/iam/veroeffentlichungen . Accessed 27 Aug 2009
28. Fischer G (2005) Lineare algebra. Vieweg+Teubner, Wiesbaden10.1007/978-3-322-93424-6 ↗
29. Deuflhard P (2002) Numerische Mathematik 1. Gruyter, Berlin
30. Otsu N (1979) IEEE Trans Syst Man Cybernet 9(1):6210.1109/TSMC.1979.4310076 ↗
31. Rohde M, Fischer F, Altstädt V, Herrmann C, Krenkel W, Hausherr JM (2009) IMC-Spritzgiesscompounder-Potentiale der Langfaserverstärkung. In: Verbundwerkstoffe, Wiley, VCH, New York, pp 483–6610.1002/9783527627110.ch68 ↗