6533b851fe1ef96bd12a9a5c
RESEARCH PRODUCT
A stochastic shape and orientation model for fibres with an application to carbon nanotubes
Jussi TimonenSalme KärkkäinenJukka NyblomTuomas TurpeinenPetra PötschkeArttu Miettinensubject
Materials scienceAcoustics and UltrasonicsMaterials Science (miscellaneous)General MathematicsCarbon nanotubesImage processingCarbon nanotube2D fibre identificationBinarizationGrayscaleDeformed line segmentslaw.inventionPlanarLine segmentlawRadiology Nuclear Medicine and imagingSegmentationPolycarbonateComposite materialInstrumentationlcsh:R5-920Orientation (computer vision)lcsh:MathematicsMultivariate von Mises distributionlcsh:QA1-939Computer Science::Computer Vision and Pattern Recognitionvisual_artSignal Processingvisual_art.visual_art_mediumComputer Vision and Pattern Recognitionlcsh:Medicine (General)Biotechnologydescription
Methods are introduced for analysing the shape and orientation of planar fibres from greyscale images of fibrous systems. The sequence of image processing techniques needed for segmentation of fibres is described. The identified fibres were interpreted as deformed line segments for which two shape and two orientation parameters are estimated by the maximum likelihood method. The methods introduced are shown to perform quite well for simulated systems of deformed line segments with known properties. They were applied to TEM images of carbon nanotubes embedded in polycarbonate.
| year | journal | country | edition | language |
|---|---|---|---|---|
| 2012-01-01 | Image Analysis and Stereology |