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Optical Fiber Imaging Based Tomographic Reconstruction of Burner Flames

Hossain, Md. Moinul, Lu, Gang, Yan, Yong (2012) Optical Fiber Imaging Based Tomographic Reconstruction of Burner Flames. IEEE Transactions on Instrumentation and Measurement, 61 (5). pp. 1417-1425. ISSN 0018-9456. (doi:10.1109/TIM.2012.2186477) (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:29336)

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/TIM.2012.2186477

Abstract

This paper presents the design, implementation, and evaluation of an optical fiber imaging based tomographic system for the 3-D visualization and characterization of a burner flame. Eight imaging fiber bundles coupled with two RGB charge-coupled device cameras are used to acquire flame images simultaneously from eight different directions around the burner. The fiber bundle has 30k picture elements and an objective lens with a 92° angle of view. The characteristic evaluation of the imaging fiber bundles and the calibration of the system were conducted to ensure the accuracy of the system. A new tomographic algorithm that combines the logical filtered back-projection and the simultaneous algebraic reconstruction technique is proposed to reconstruct the flame sections from the images. A direct comparison between the proposed algorithm and other tomographic approaches is conducted through computer simulation for different test templates and numbers of projections. The 3-D reconstruction of the cross- and longitudinal-sections of a burner flame from image projections obtained from the imaging system was also performed. The effectiveness of the imaging system and computer algorithm is assessed through experimental tests.

Item Type: Article
DOI/Identification number: 10.1109/TIM.2012.2186477
Uncontrolled keywords: Charge-couple device (CCD) camera, flame, imaging filter, luminosity distribution, three-dimensional reconstruction, tomography
Subjects: T Technology > TA Engineering (General). Civil engineering (General) > TA1637 Image processing
Divisions: Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Engineering and Digital Arts
Depositing User: J. Harries
Date Deposited: 25 Apr 2012 13:34 UTC
Last Modified: 16 Nov 2021 10:07 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/29336 (The current URI for this page, for reference purposes)
Lu, Gang: https://orcid.org/0000-0002-9093-6448
Yan, Yong: https://orcid.org/0000-0001-7135-5456
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