The University of Southampton
University of Southampton Institutional Repository

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 & Technology, 152, (4), pp. 187-195.

Record type: Article


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.

PDF xray_image_processing.pdf - Other
Restricted to Registered users only
Download (934kB)

More information

Published date: July 2005
Organisations: Electronics & Computer Science, EEE


Local EPrints ID: 261105
ISSN: 1350-2344
PURE UUID: bb899b57-5cfa-46de-819c-3042b1694dec

Catalogue record

Date deposited: 04 Aug 2005
Last modified: 18 Jul 2017 09:05

Export record


Author: A.P. Robinson
Author: P.L. Lewin
Author: S.G. Swingler
Author: S.J. Sutton

University divisions

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton:

ePrints Soton supports OAI 2.0 with a base URL of

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.