MAVIparticle

MAVIparticle

 

MAVIparticle is a software tool for calculating size and shape characteristics of particles in 3D images. MAVIparticle generalises size and shape features from 2D particle analysis unambiguously to the spatial setting. MAVIparticle allows the complete analysis of large 3D gray scale data including automatic visualization.

MAVIparticle is particularly suited for characterising residual dirt particles in technical cleanliness applications. Dangerous dirt particles can be detected reliably and with high throughput based on 3D images obtained by micro computed tomography.

Logo MAVIparticle
© Photo ITWM

Logo MAVIparticle

Partikelkenngrößen in 3D: Maximaler Feret Durchmesser.
© Photo ITWM

Characterization of particles in 3D: Maximum Feret diameter.

  Partikelkenngrößen in 3D: Maximale lokale Dicke.
© Photo ITWM

Partikelkenngrößen in 3D: Maximale lokale Dicke.

Partikelkenngrößen in 3D: Maximale Elongation.
© Photo ITWM

Partikelkenngrößen in 3D: Maximale Elongation.

MAVIparticle Features

  • intrinsic volumes (volume, surface area, mean width, Euler number)
  • isoperimetric shape factors
  • mean gray value
  • length, width, and thickness
  • maximal Feret diameter
  • maximal local thickness
  • elongation and elongation index

Publications

  • Irene Vecchio, Katja Schladitz, Michael Godehardt, Markus Heneka:
    3D Geometric Characterization of Particles Applied to Technical Cleanliness.
    Image Analysis & Stereology, v.31, n.3, p.163-174, 2012.
  • I. Vecchio, K. Schladitz, M. Godehardt, M. J. Heneka:
    Geometric Characterization of Particles in 3d with an Application to Technical Cleanliness.
    Report, Fraunhofer ITWM, Nr. 207, 2011.