Abstract
Original language | English |
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Pages (from-to) | 17-26 |
Journal | Image Analysis and Stereology |
Volume | 31 |
Issue number | 1 |
DOIs | |
Publication status | Published - 2012 |
MoE publication type | Not Eligible |
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Keywords
- 2D fibre identification
- Binarization
- Carbon nanotubes
- Deformed line segments
- Multivariate von Mises distribution
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A stochastic shape and orientation model for fibres with an application to carbon nanotubes. / Kärkkäinen, Salme; Miettinen, Arttu; Turpeinen, Tuomas; Nyblom, Jukka; Pötschke, Petra; Timonen, Jussi.
In: Image Analysis and Stereology, Vol. 31, No. 1, 2012, p. 17-26.Research output: Contribution to journal › Article › Scientific › peer-review
TY - JOUR
T1 - A stochastic shape and orientation model for fibres with an application to carbon nanotubes
AU - Kärkkäinen, Salme
AU - Miettinen, Arttu
AU - Turpeinen, Tuomas
AU - Nyblom, Jukka
AU - Pötschke, Petra
AU - Timonen, Jussi
PY - 2012
Y1 - 2012
N2 - 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.
AB - 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.
KW - 2D fibre identification
KW - Binarization
KW - Carbon nanotubes
KW - Deformed line segments
KW - Multivariate von Mises distribution
U2 - 10.5566/ias.v31.p17-26
DO - 10.5566/ias.v31.p17-26
M3 - Article
VL - 31
SP - 17
EP - 26
JO - Image Analysis and Stereology
JF - Image Analysis and Stereology
SN - 1580-3139
IS - 1
ER -