Segmentation and Analysis of Particles in 3D

Volume rendering of gravel
© Fraunhofer ITWM
Volume rendering of separate pieces of gravel. The false coloring demonstrates the segmentation of individual grains. μ-CT ProCon XRay.

MAVI or ToolIP+MAVIkit can be used to segment particles in three-dimensional image data and determine the size and shape distributions of these objects. The length, width and height of complex-shaped particles can be robustly obtained from the edge lengths of the minimum enveloping cuboid.

Particularly pointed particles or systems of particles of very different sizes cannot always be separated directly without errors. A random forest that recognizes and joins splinters helps here.

Characterization of particles in 3D: Maximum Feret diameter
© Fraunhofer ITWM
Characterization of particles in 3D: Maximum Feret diameter
Characterization of particles in 3D: Maximum elongation
© ITWM
Characterization of particles in 3D: Maximum elongation
Characterization of particles in 3D: Maximal local thickness
© Fraunhofer ITWM
Characterization of particles in 3D: Maximal local thickness

Publications

  • Burgmann, S.; Godehardt, M.; Schladitz, K.; Breit, W.:
    Influence of voxel size for µCT imaging of particles on measurement accuracy.
    Construction & building materials : CBM 289 (2021), Art. 123148.
  • Burgmann, S.; Godehardt, M.; Schladitz, K.; Breit, W.:
    Separation of sand and gravel particles in 3D images using the adaptive h-extrema transform. Powder Technology 404 (2022) 117468.
  • Vecchio, I.; Schladitz, K.; Godehardt, M.; Heneka, M.:
    3D Geometric Characterization of Particles Applied to Technical Cleanliness.
    Image Analysis & Stereology, Volume 31, n.3, pp.163-174, (2012).
  • O. Weber, A. Rack, C. Redenbach, M. Schulz, O. Wirjadi:
    Micropowder Injection Molding: Investigation of Powder-Binder Separation Using Synchrotron-Based Microtomography and 3D Image Analysis.
    J. Materials Science, 46 (10), pp. 3568-3573, (2011).