DocumentCode :
461208
Title :
Research on Image Processing Based on Genetic Algorithm for Furnace Flame
Author :
Zhen, Chenggang ; Zhang, Xin ; Mao, Xinjing
Author_Institution :
Information & Network Manage. Center, North China Electr. Power Univ.
Volume :
1
fYear :
2006
fDate :
9-13 July 2006
Firstpage :
426
Lastpage :
430
Abstract :
Process of burning coal powder in the boiler is a very complex suspension combustion and very unstable, the process that monitors the system image includes a lot of noise signals from different aspects. In this paper, the principles of eliminating image noises, enhancing image and boundary detecting are discussed in detail, then processing for the flame image is completed
Keywords :
boilers; combustion; flames; genetic algorithms; image denoising; power engineering computing; coal powder burning process; flame image processing; furnace flame; genetic algorithm; image noise elimination; suspension combustion; Boilers; Combustion; Filters; Fires; Furnaces; Genetic algorithms; Image processing; Pixel; Powders; Signal processing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Industrial Electronics, 2006 IEEE International Symposium on
Conference_Location :
Montreal, Que.
Print_ISBN :
1-4244-0496-7
Electronic_ISBN :
1-4244-0497-5
Type :
conf
DOI :
10.1109/ISIE.2006.295632
Filename :
4077963
Link To Document :
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