2015
DOI: 10.1016/j.patcog.2014.11.009
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Accurate fibre orientation measurement for carbon fibre surfaces

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Cited by 43 publications
(20 citation statements)
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“…This presents a problem for many traditionally effective NDT methods such as ultrasonic testing (UT) as they require contact with the test material through a coupling medium or for the sample to be submerged in water. Potential in-line non-destructive testing techniques include optical sensing with image processing methods to measure fibre alignment [6,7,8,9]. Such approaches are fast and low cost but cannot measure orientation in $ sub-surface plies.…”
Section: Introductionmentioning
confidence: 99%
“…This presents a problem for many traditionally effective NDT methods such as ultrasonic testing (UT) as they require contact with the test material through a coupling medium or for the sample to be submerged in water. Potential in-line non-destructive testing techniques include optical sensing with image processing methods to measure fibre alignment [6,7,8,9]. Such approaches are fast and low cost but cannot measure orientation in $ sub-surface plies.…”
Section: Introductionmentioning
confidence: 99%
“…Although the general concept of a digital twin covers the complete life-cycle of a part [5,7], this work focuses on the carbon fiber lay-up process. Approaches for monitoring of such processes have been proposed in the past [8], [9]. For the experiments similar sensor systems are used to acquire raw data.…”
Section: Related Workmentioning
confidence: 99%
“…The problem of estimating the orientation or the direction of the objects of an image has been previously addressed with different approaches: using the Hough transformation (Chaudhuri et al 1993), estimating the skew angle of an image with a calibration method (Bian et al 2013), analysing the two-dimensional (2D) FFT with Principal Component Analysis (Josso et al 2005), and employing the photometric stereo technique (Zambal et al 2015). Moreover, the 2D-FFT and the structure tensor of the image are also employed by OrientationJ and Directionality, which are two plugins of the ImageJ image processing software (ImageJ -National Institutes of Health -USA)analys.…”
Section: Introductionmentioning
confidence: 99%