A stochastic shape and orientation model for fibres with an application to carbon nanotubes

Salme Kärkkäinen, Arttu Miettinen, Tuomas Turpeinen, Jukka Nyblom, Petra Pötschke, Jussi Timonen

Research output: Contribution to journalArticleScientificpeer-review

9 Citations (Scopus)

Abstract

Methods are introduced for analysing the shape and orientation of planar\nfibres from greyscale images of fibrous systems. The sequence of image\nprocessing techniques needed for segmentation of fibres is described.\nThe identified fibres were interpreted as deformed line segments for\nwhich two shape and two orientation parameters are estimated by the\nmaximum likelihood method. The methods introduced are shown to perform\nquite well for simulated systems of deformed line segments with known\nproperties. They were applied to TEM images of carbon nanotubes embedded\nin polycarbonate.
Original languageEnglish
Pages (from-to)17-26
JournalImage Analysis and Stereology
Volume31
Issue number1
DOIs
Publication statusPublished - 2012
MoE publication typeNot Eligible

Keywords

  • 2D fibre identification
  • Binarization
  • Carbon nanotubes
  • Deformed line segments
  • Multivariate von Mises distribution

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