| 基于遗传算法电容层析成像图像重建算法的研究 |
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| 引用本文： | 陈德运,郑贵滨,于晓洋,孙立镌.基于遗传算法电容层析成像图像重建算法的研究[J].电机与控制学报,2003,7(3):207-211. |
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| 作者姓名： | 陈德运 郑贵滨 于晓洋 孙立镌 |
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| 作者单位： | 哈尔滨理工大学,计算机与控制学院,黑龙江,哈尔滨,150080 |
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| 基金项目： | 黑龙江省重点科技攻关项目(GC02A126)，黑龙江省自然科学基金(F01-25)，黑龙江省教育厅计划项目(9551106) |
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| 摘 要： | 采用了有限元法和归一化敏感场对传感器进行了仿真分析和计算，并提出了敏感场数值从有限元域到成像域的转换方法和一种新的基于遗传算法的ECT图像重建方法．该图像重建方法利用流型数据作为初始值在一定的范围内搜索最优解，能以较高的精度重建两相流体的断层图像，为ECT图像重建算法的研究提供了一个新的思路。
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| 关 键 词： | 电容层析成像 图像重建算法 遗传算法 有限元法 |
| 文章编号： | 1007-449X(2003)03-0207-05 |
| 修稿时间： | 2002年11月16 |
Image reconstruction algorithm based on genetic algorithms for two-phase flow electrical capacitance tomography system |
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| CHEN De-yun,ZHENG Gui-bin,YU Xiao-yang,SUN Li-quan.Image reconstruction algorithm based on genetic algorithms for two-phase flow electrical capacitance tomography system[J].Electric Machines and Control,2003,7(3):207-211. |
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| Authors: | CHEN De-yun ZHENG Gui-bin YU Xiao-yang SUN Li-quan |
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| Abstract: | Simulation of the sensors and the computation of the normalized sensitivity distribution is performed using the Finite Element Method. The method translates the sensitivity distribution from the Finite Element field to image-reconstruction field and an image reconstructing method based on the genetic algorithms is proposed. Flow regime data are used in initializing the resolution and the best answer can be found out by searching the limited range around the initial resolution. With this new algorithm, section image of two-component flow can be reconstructed with better accuracy at a higher speed, and the accurate ratio of different component can be attained. |
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| Keywords: | electrical capacitance tomography finite element method genetic algorithms two- component flow |
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