Qiu, Tian and Yan, Yong and Lu, Gang (2012) A three-dimensional shape descriptor for burner flames. In: 2012 IEEE International Conference on Imaging Systems and Techniques Proceedings. IEEE, pp. 506-509. ISBN 978-1-4577-1776-5. E-ISBN 978-1-4577-1775-8. (doi:10.1109/IST.2012.6295595) (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:35793)
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/IST.2012.6295595 |
Abstract
The shape of a burner flame is an important characteristic closely linked to the burner configuration, fuel type, and other operational parameters of a combustion process. This paper presents an algorithm to extract the 3-D medial axis of a burner flame and use it as a descriptor for the flame shape characterization. The algorithm is based on the 2-D medial axes of two flame images captured from two orthogonal directions of the burner using a flame imaging system. Since the data of the extracted features are much less than those of the original image, the computing process is simplified and efficient. Experimental results demonstrate that the flame 3-D medial axis determined using the proposed algorithm reflects its dynamical movement. Together with the radial parameter of the defined medial axis, a range of 3-D geometric parameters of the flame can be estimated.
Item Type: | Book section |
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DOI/Identification number: | 10.1109/IST.2012.6295595 |
Uncontrolled keywords: | fires; shape; image reconstruction; image edge detection; furnaces; combustion; feature extraction |
Subjects: | T Technology > TK Electrical engineering. Electronics. Nuclear engineering |
Divisions: | Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Engineering and Digital Arts |
Depositing User: | P.S.P. Yapp |
Date Deposited: | 29 Oct 2013 16:41 UTC |
Last Modified: | 05 Nov 2024 10:19 UTC |
Resource URI: | https://kar.kent.ac.uk/id/eprint/35793 (The current URI for this page, for reference purposes) |
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