Improved 2-D vector field reconstruction using virtual sensors and the Radon transform

Giannakidis, A ORCID: https://orcid.org/0000-0001-7403-923X, Kotoulas, L and Petrou, M, 2008. Improved 2-D vector field reconstruction using virtual sensors and the Radon transform. In: Proceedings of the 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. Piscataway, NJ: Institute of Electrical and Electronics Engineers, pp. 2725-2728. ISBN 9781424418145

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Abstract

This paper describes a method that allows one to recover both components of a 2-D vector field based on boundary information only, by solving a system of linear equations. The analysis is carried out in the digital domain and takes advantage of the redundancy in the boundary data, since these may be viewed as weighted sums of the local vector field’s Cartesian components. Furthermore, a sampling of lines is used in order to combine the available measurements along continuous tracing lines with the digitised 2-D space where the solution is sought. A significant enhancement in the performance of the proposed algorithm is achieved by using, apart from real data, also boundary data obtained at virtual sensors. The potential of the proposed method is demonstrated by presenting an example of vector field reconstruction.

Item Type:	Chapter in book
Description:	Proceedings of the 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Vancouver Convention & Exhibition Centre, Vancouver, British Columbia, Canada, 20-24 August 2008.
Creators:	Giannakidis, A., Kotoulas, L. and Petrou, M.
Publisher:	Institute of Electrical and Electronics Engineers
Place of Publication:	Piscataway, NJ
Date:	2008
ISBN:	9781424418145
Identifiers:	Number Type 10.1109/IEMBS.2008.4649765 DOI
Record created by:	Jonathan Gallacher
Date Added:	28 Mar 2018 12:26
Last Modified:	28 Mar 2018 12:26
URI:	https://irep.ntu.ac.uk/id/eprint/33137

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