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 |
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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: | ![]() |
Yan, Yong: | ![]() |
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