Abstract
The article describes a combination of optical 3-d measurement technique and ultrasonic testing for areawide acquisition of wall thickness on piping segments. It serves the purpose to match automatically ultrasonic measurements to their 3-d positions at the examined pipe segment. The sensor, which is normally occluded by hand, is equipped with a cap with a number of attached LEDs. A model based approach is presented to track these LEDs and to visualise the measured wall thickness at a three-dimensional surface. Therefore the model of the cap is fitted to the segmented image data, so that the 3-d position of the ultrasonic sensor can be derived from computed model orientation. Our approach works robustly and can build the basis for further applications in real industrial environments.
The original version of this chapter was revised: The copyright line was incorrect. This has been corrected. The Erratum to this chapter is available at DOI: 10.1007/978-3-319-02895-8_64
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
References
Blitz, J., Simpson, G.: Ultrasonic Methods of Non-Destructive Testing. Chapman & Hall, London (1996)
Open Access NDT Database, http://www.ndt.net/search/docs.php3?id=6806&content=1
Luhmann, T., Robson, S., Kyle, S., Harley, I.: Close Range Photogrammetry: Principles, Techniques and Applications. Whittles Publishing, Caithness (2006)
Shortis, M.R., Fraser, C.S.: State of the Art of 3D Measurement Systems for Industrial and Engineering Applications. In: 21st International Congress of FIG, Commission 6, Brighton (1998), http://www.geomsoft.com/markss/papers/ShortisFraserFIG1998.pdf
Kraus, K.: Photogrammetry: Geometry from Images and Laser Scans, 2nd edn. Walter de Gruyter, Berlin (2007)
Park, Y., Lepetit, V., Woontack, W.: Multiple 3D Object tracking for augmented reality. In: Proceedings of the 7th IEEE/ACM International Symposium on Mixed and Augmented Reality, pp. 117–120 (2008)
Prisacariu, V., Reid, I.: PWP3D: Real-Time Segmentation and Tracking of 3D Objects. Int. J. Comput. Vision 98, 335–354 (2012)
Lepetit, V., Fua, P.: Monocular model-based 3D tracking of rigid objects, Found. Trends. Comput. Graph. Vis. 1, 1–89 (2005)
Hanke-Bourgeois, M.: Grundlagen der Numerischen Mathematik und des Wissenschaftlichen Rechnens. Vieweg + Teubner, Wiesbaden (2009)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2013 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Bendicks, C., Lilienblum, E., Freye, C., Al-Hamadi, A. (2013). Tracking of a Handheld Ultrasonic Sensor for Corrosion Control on Pipe Segment Surfaces. In: Blanc-Talon, J., Kasinski, A., Philips, W., Popescu, D., Scheunders, P. (eds) Advanced Concepts for Intelligent Vision Systems. ACIVS 2013. Lecture Notes in Computer Science, vol 8192. Springer, Cham. https://doi.org/10.1007/978-3-319-02895-8_31
Download citation
DOI: https://doi.org/10.1007/978-3-319-02895-8_31
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-02894-1
Online ISBN: 978-3-319-02895-8
eBook Packages: Computer ScienceComputer Science (R0)