Skip to main content
Kent Academic Repository

Tomographic Reconstruction of the Luminosity Distribution of a Combustion Flame

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: 16 Nov 2021 10:18 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/46723 (The current URI for this page, for reference purposes)

University of Kent Author Information

  • Depositors only (login required):

Total unique views for this document in KAR since July 2020. For more details click on the image.