Image processing based on an improved hybrid genetic algorithm for furnace flame

被引：0

作者：

Zhen, Chenggang ^{[1
]}

Liao, Wei ^{[2
]}

Wu, Zhongli ^{[1
]}

机构：

[1] N China Elect Power Univ, Baoding 071003, Peoples R China

[2] Hebei Univ Engn, Handan 056038, Peoples R China

来源：

CISP 2008: FIRST INTERNATIONAL CONGRESS ON IMAGE AND SIGNAL PROCESSING, VOL 3, PROCEEDINGS | 2008年

关键词：

image processing; genetic algorithm; combustion;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

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.

引用

页码：344 / 348

页数：5

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