Gilabert, Guillermo, Lu, Gang, Shao, Jiaqing, Yan, Yong (2006) Tomographic Reconstruction of the Luminosity Distribution of a Combustion Flame. In: Proceedings of IEEE International Instrumentation and Measurement Technology Conference (I2MTC 2006). . pp. 147-150. (doi:10.1109/IMTC.2006.328333) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:46723)
The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided. | |
Official URL: http://dx.doi.org/10.1109/IMTC.2006.328333 |
Abstract
This paper presents computing algorithms for the tomographic reconstruction of the luminosity distribution of a combustion flame from its two-dimensional images captured simultaneously by CCD cameras. Two reconstruction algorithms, filtered back-projection and algebraic reconstruction, are described. A direct comparison between the two approaches is made in respect of their reconstruction effectiveness through computer simulation for a varying number of projections. Images of candle and gaseous flames are used to test the effectiveness of the algorithms developed. The outcome of the investigation has led to the establishment of an improved method for the reconstruction of the luminosity distribution of flame cross-sections and ultimately the quantitative characterization of the inter-structures of a combustion flame
Item Type: | Conference or workshop item (Paper) |
---|---|
DOI/Identification number: | 10.1109/IMTC.2006.328333 |
Subjects: | T Technology |
Divisions: | Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Engineering and Digital Arts |
Depositing User: | Tina Thompson |
Date Deposited: | 16 Jan 2015 13:01 UTC |
Last Modified: | 05 Nov 2024 10:30 UTC |
Resource URI: | https://kar.kent.ac.uk/id/eprint/46723 (The current URI for this page, for reference purposes) |
- Export to:
- RefWorks
- EPrints3 XML
- BibTeX
- CSV
- Depositors only (login required):