DocumentCode
2676504
Title
Reconstruction of 3-D temperature distribution for combustion flame image
Author
Wen-Ju, Yuan ; Kun, Xu ; A-Lin, Hou
Author_Institution
Coll. of Comput. Sci. & Eng., Changchun Univ. of Technol., Changchun, China
Volume
6
fYear
2010
fDate
24-26 Aug. 2010
Firstpage
365
Lastpage
368
Abstract
Combustion flame detection based on digital image processing is the popular trend of flame detection technology. In this paper, we propose a modeling method for the distribution of three-dimensional temperature field of combustion flame image based on modified simultaneous algebraic reconstruction technique. The flame image captured by CCD is projected onto the target sheet in three-dimensional space. We investigate the relationship between each pixels of flame image and spatial flame radiation intensity according to the spatial flame radiation of three-dimension. Using the method of reconstruction image based on projection, the simultaneous algebraic reconstruction technique (SART) and the least squared estimation (LSE) algorithm are used to calculate the three-dimensional (3D) temperature field distribution. Numerical calculation and simulation experiments have been done in order to verify the algorithm. The experimental results demonstrated that the algorithm is feasible and effective.
Keywords
algebra; combustion; flames; image reconstruction; least squares approximations; mechanical engineering computing; object detection; 3D temperature distribution; CCD; combustion flame detection; combustion flame image; digital image processing; least squared estimation; simultaneous algebraic reconstruction technique; Chemical elements; Chemicals; Fires; Image reconstruction; combustion flame image; distribution; projection; reconstruction; temperature;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer, Mechatronics, Control and Electronic Engineering (CMCE), 2010 International Conference on
Conference_Location
Changchun
Print_ISBN
978-1-4244-7957-3
Type
conf
DOI
10.1109/CMCE.2010.5609835
Filename
5609835
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