X-ray image processing for high voltage cable inspection
Robinson, A P, Lewin, P L, Swingler, S G and Sutton, S J (2005) X-ray image processing for high voltage cable inspection. IEE Proceedings: Science Measurement and Technology, 152, (4), 187-195.
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Description/Abstract
High voltage polymeric cables can be insulated using an automated extrusion process to a predefined standard up to a maximum continuous length. For longer cables, lengths are joined together manually. Consequently, the manufacturing quality of the cable joint is likely to be lower than that of the cable; therefore joints must be assessed prior to energisation. One method of manually inspecting joints uses conventional X-ray techniques. This could be automated using digital technology and image processing techniques. One possible sensor that could be used to replace the film would be a CCD camera coupled to a scintillating screen. Two post-processing algorithms for inspection of the digital images produced have been implemented; these are a statistical approach using mean, variance, skewness and kurtosis, and a method that equates pixels to Newtonian bodies. In order to verify that digital X-raying of cable joints is a feasible inspection procedure, CCD camera and film images have been taken of three test pieces. The film-based images were converted into a digital format using a high-resolution scanner. Both sets of images were processed using the algorithms. The results of this test show that images generated by the camera are more distinct than film.
| Item Type: | Article |
|---|---|
| ISSNs: | 1350-2344 |
| Divisions: | Faculty of Physical Sciences and Engineering > Electronics and Computer Science Faculty of Physical Sciences and Engineering > Electronics and Computer Science > EEE |
| Item ID: | 261105 |
| Date Deposited: | 04 Aug 2005 |
| Last Modified: | 07 Mar 2012 17:08 |
| Contributors: | Robinson, A P (Author) Lewin, P L (Author) Swingler, S G (Author) Sutton, S J (Author) |
| Date: | July 2005 |
| Status: | Published |
| Publisher: | IEE |
| Further Information: | Google Scholar |
| ISI Citation Count: | 3 |
| URI: | http://eprints.soton.ac.uk/id/eprint/261105 |
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