Hostname: page-component-78c5997874-94fs2 Total loading time: 0 Render date: 2024-11-08T05:32:16.121Z Has data issue: false hasContentIssue false
  • English
  • Français

Automatic Fiber Length Measurements with a Multi-Stencil Fast Marching Method on Microscopy Images

Published online by Cambridge University Press:  03 April 2020

Chanjuan Liu ,
Menno Bergmeijer ,
Sébastien Pierrat  and
Olivier Guise
Chanjuan Liu*
Affiliation:
SABIC, Global Analytical Science, Coorperate T&I, Plasticslaan 1, 4612PXBergen op Zoom, The Netherlands
Menno Bergmeijer
Affiliation:
SABIC, Global Analytical Science, Coorperate T&I, Plasticslaan 1, 4612PXBergen op Zoom, The Netherlands
Sébastien Pierrat
Affiliation:
SABIC, Global Analytical Science, Coorperate T&I, Plasticslaan 1, 4612PXBergen op Zoom, The Netherlands
Olivier Guise
Affiliation:
SABIC, Global Analytical Science, Coorperate T&I, Plasticslaan 1, 4612PXBergen op Zoom, The Netherlands
*
*Author for correspondence: Chanjuan Liu, E-mail: [email protected]
Get access

Abstract

Fiber length has a strong impact on the mechanical properties of composite materials. It is one of the most important quantitative features in characterizing microstructures for understanding the material performance. Studies conducted to determine fiber length distribution have primarily focused on sample preparation and fiber dispersion. However, the subsequent image analysis is frequently performed manually or semi-automatically, which either requires careful sample preparation or manual intervention in the image analysis and processing. In this article, an image processing and analysis method has been developed based on medial axis transformation via the multi-stencil fast marching method for fiber length measurements on acquired microscopy images. The developed method can be implemented fully automatically and without any user induced delays. This method offers high efficiency, sub-pixel accuracy, and excellent statistical representativity.

Keywords

automated fiber length measurementcomposites materialsdigital microscopy imagesmedial axis transformation (MAT)multi-stencil fast marching (MSFM)
Type
Software and Instrumentation
Information
Microscopy and Microanalysis , Volume 26 , Issue 3 , June 2020 , pp. 387 - 396
Copyright
Copyright © Microscopy Society of America 2020

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Balac, S & Mahè, F (2013). Embedded Runge–Kutta scheme for step-size control in the interaction picture method. Comput Phys Commun 184, 135–144.CrossRefGoogle Scholar
Berardi, U & Dembsey, N (2015). Thermal and dire characteristics of FRP composites for architectural applications. Polymers 7, 2276–2289.CrossRefGoogle Scholar
Cards, M & Starnes, J (1987). Current research in composite structures and NASA's langley research center. Sadhana 11, 277–298.CrossRefGoogle Scholar
Cornea, N, Silver, D & Min, P (2007). Curve-skeleton properties, applications and algorithms. IEEE Trans Vis Comput Graph 13, 530–548.CrossRefGoogle ScholarPubMed
Durin, A, Micheli, PD, Villle, J, Inceoglu, F, Valette, R & Vergnes, B (2013). Comparison between 1D and 3D approaches for twin-screw extrusion simulation. Int Polym Process 29, 641–648.CrossRefGoogle Scholar
Fu, S & Lauke, B (1996). Effects of fiber length and fiber orientation distributions on the tensile strength of short-fiber-reinforced polymers. Compos Sci Technol 56, 1179–1190.CrossRefGoogle Scholar
GangaRao, H (2017). Infrastructure applications of fiber-reinforced polymer composites. In Applied Plastics Engineering Handbook, 2nd ed., Kutz, M. (Ed.), Plastics Design Library, pp. 675–695. New York, United States: William Andrew Publishing.CrossRefGoogle Scholar
Goris, S, Back, T, Yanev, A, Brands, D, Drummer, D & Osswal, T (2017). A novel fiber length measurement technique for discontinuous fiber-reinforced composites: A comparative study with existing methods. Polym Compos. 39 (11), 4058–4070.CrossRefGoogle Scholar
Hart-Smith, J (1985). The design of repairable advanced composite structures. In Society of Automotive Engineers Transactions: Aerospace Technology Conference and Exposition, California, United States: Technical paper 851830, DOI:10.4271/851830CrossRefGoogle Scholar
Hartwich, M, Mayr, H & Stengler, R (2009). FASEP ultra-automated analysis of fiber length distributions in glass-fiber-reinforced products. In Proceedings of SPIE 7389, Optical Measurement Systems for Industrial Inspection. SPIE.Google Scholar
Hassouna, M & Farag, A (2007). Multistencils fast marching methods: A highly accurate solution to the Eikonal equation on cartesian domains. IEEE Trans Pattern Anal Mach Intell 29, 1563–1574.CrossRefGoogle Scholar
Hisada, M, Belyaev, A & Kunii, T (2001). A skeleton-based approach for detection of perceptually salient features on polygonal surfaces. Comput Graph Forum 21, 689–700.CrossRefGoogle Scholar
Jin, D, Iyer, K, Chen, C, Hoffman, E & Saha, P (2016). A robust and efficient curve skeletonization algorithm for tree-like objects using minimum cost path. Pattern Recognit Lett 76, 32–40.CrossRefGoogle Scholar
Kadlag, V & Hire, A (2017). A review on applications of fiber reinforced polymer composite in automotive industry. Int J Adv Res Electr Electron Instrum Eng 6, 3726–3729.Google Scholar
Katz, R & Pizer, S (2003). Untangling the blum medial axis transform. Int J Comput Vis 55, 139–153.CrossRefGoogle Scholar
Krasteva, D (2009). Integrated prediction of processing and thermomechanical behavior of long fiber thermoplastic composites. PhD Thesis. University of Minho.Google Scholar
Kroon, DJ (2011). Accurate fast marching based on multistencil FMM. Available at http://www.mathworks.com/matlabcentral/fileexchange/24531-accurate-fast-marching.Google Scholar
Kunc, V, Frame, B, Nguyrn, B & Velez-Garcia, CTIG (2007). Fiber length distribution measurements for long glass and carbon fiber reinforced injection molded thermoplastics. SPE Automotive and composites Divisions - Proceedings of the 7th Annual Automotive Composites Conference and Exposition-Driving performance and Productivity, vol. 2, pp. 866–876.Google Scholar
Marsh, G (2008). Electronics - a major market for reinforced plastics. Reinf Plast 52, 38–41.CrossRefGoogle Scholar
Moy, S (2013). 7 -Advanced fiber-reinforced polymer (FRP) composites for civil engineering applications. In Developments in Fiber-Reinforced Polymer (FRP) Composites for Civil Engineering, Uddin, N. (Ed.), Woodhead Publishing Series in Civil and Structural Engineering, pp. 177–204. Cambridge, United Kingdom: Woodhead Publishing.CrossRefGoogle Scholar
Münzenrieder, N, Costa, J, Cantarella, G & Vogt, C (2017). Oxide thin-film electronics on carbon fiber reinforced polymer composite. IEEE Electron Device Lett 38, 1043–1046.CrossRefGoogle Scholar
Phelps, JH, El-Rahnman, AA, Kunc, V & Tucker, CL (2013). A model of fiber attrition in injection-molded long-fiber composites. Compos Part A 51, 11–21.CrossRefGoogle Scholar
Pradeep, S, Iyer, R, Kazan, H & Pilla, S (2017). Automotive applications of plastics: Past, present, and future. In Applied Plastics Engineering Handbook, 2nd ed., Kutz, M. (Ed.), Plastics Design Library, pp. 651–673. William Andrew Publishing.CrossRefGoogle Scholar
Press, W, Flannery, B, Teukolsky, S & Vettering, W (1992). Integartion of Ordinary Differential Equations, Chapter 16 in “Numerical Recipes in C: The Art of Scientific Computing, 2nd ed”.Google Scholar
Reniers, D (2009). Skeletonization and segmentation of binary voxel shapes. PhD Thesis. Technische Universiteit Eindhoven.Google Scholar
Rigort, A, Hegerl, D, Baum, D, Weber, B, Prohaska, S, Medalia, O, Baumeister, W & Hege, H (2012). Automated tracing segmentation of electron tomograms for a quantitative description of actin filament networks. J Struct Biol 177, 135–144.CrossRefGoogle ScholarPubMed
Rohde, M, Ebel, A, Villle, F, Wolff-Fabris, F & Altstadt, V (2011). Influence of processing parameters on the fiber length and impact properties of injection molded long glass fiber reinforced polypropylene. J Polym Process 26, 292–303.CrossRefGoogle Scholar
Saha, PK, Borgefors, G & di Baja, GS (2016). A survey on skeletonization algorithms and their applications. Pattern Recognit Lett 76, 3–12.CrossRefGoogle Scholar
Simon, S (2016). Analysis of fiber attrition and fiber-matrix separation during injection molding of long fiberreinforced thermoplastic parts. Master Thesis. Austrian Biotech University of Applied Sciences.Google Scholar
Telea, A & van Wijk, J (2002). An augmented fast marching method for computing skeletons and centerlines. In Proceedings of the Symposium on Data Visualisation 2002, VISSYM '02, p. 251. Aire-la-Ville, Switzerland: Eurographics Association.Google Scholar
Thomason, J & Vlug, M (1996). Influence of fibre length and concentration on the properties of glass fibre-reinforced polypropylene: 1. Tensile and flexural modulus. Compos Part A Appl Sci Manuf 27, 477–484.CrossRefGoogle Scholar
Thomason, J & Vlug, M (1997). Influence of fibre length and concentration on the properties of glass fibre-reinforced polypropylene: 4. Impact properties. Compos Part A Appl Sci Manuf 28, 277–288.CrossRefGoogle Scholar
Toozandehjani, M, Kamarudin, N, Dashtizadeh, Z, Lim, E, Gomes, A & Gomes, C (2018). Conventinal and advanced composites in aerospace industry: Technologies revisited. Am J Aerosp Eng 5, 9–15.CrossRefGoogle Scholar
van Uitert, R & Vlug, I (2007). Subvoxel precise skeletons of volumetric data based on fast marching methods. Med Phys 34, 627–638.CrossRefGoogle ScholarPubMed
Wang, H (2007). Fiber property characterisation by image processing. Master Thesis. Texas Tech University.Google Scholar
Weber, B, Greenan, G, Prohaska, S, Baum, D, Hege, H, Mueller-Reichert, T, Hyman, A & Verbavatz, J (2012). Automated tracing of microtubules in electron tomograms of plastic embedded samples of caenorhabdits elegans embryos. J Struct Biol 178, 129–138.CrossRefGoogle Scholar
Zaman, A, Gutub, S & Wafa, M (2013). A review on FRP composites applications and durablility concerns in construction sector. J Reinf Plast Compos 32, 1966–1988.CrossRefGoogle Scholar