DocumentCode
2153349
Title
Image Processing Based on an Improved Hybrid Genetic Algorithm for Furnace Flame
Author
Zhen, Chenggang ; Liao, Wei ; Wu, Zhongli
Volume
3
fYear
2008
fDate
27-30 May 2008
Firstpage
344
Lastpage
348
Abstract
Process of burning coal powder in the boiler is a very complex suspension combustion and very unstable. The technology of image processing is an important way to monitor the status of boilers. In this paper, we use image segmentation operation in this area, and the segmentation process is based on an improved hybrid genetic algorithm. In this algorithm, the simulated annealing algorithms and immune operation are used to improve the performance of the Genetic Algorithms in the image processing.
Keywords
Boilers; Combustion; Fires; Furnaces; Genetic algorithms; Image processing; Image segmentation; Monitoring; Powders; Simulated annealing; Image processing; combustion; genetic algorithm;
fLanguage
English
Publisher
ieee
Conference_Titel
Image and Signal Processing, 2008. CISP '08. Congress on
Conference_Location
Sanya, China
Print_ISBN
978-0-7695-3119-9
Type
conf
DOI
10.1109/CISP.2008.238
Filename
4566503
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