| 电容层析成像系统自适应电容归一化模型研究 |
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| 引用本文： | 张立峰,宋亚杰. 电容层析成像系统自适应电容归一化模型研究[J]. 电测与仪表, 2019, 56(20): 42-46 |
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| 作者姓名： | 张立峰 宋亚杰 |
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| 作者单位： | 华北电力大学自动化系,河北保定,071003;华北电力大学自动化系,河北保定,071003 |
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| 摘 要： | 电容层析成像(ECT)系统中,电容测量转换电路获得的数据必须经过归一化处理,才能使用重建算法进行图像重建。在并联、串联归一化模型的基础上,利用并联、串联模型的数学关系提出了自适应归一化模型函数关系。模型的自适应因子根据中心电场线(EFCL)划分的两个区域中单元到中心电场线的最小距离与最大距离的比值来计算,仿真及实验结果表明基于该模型的重建图像质量优于并联及串联模型。
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| 关 键 词： | 电容层析成像 图像重建 电容归一化 自适应归一化 中心电场线 |
| 收稿时间： | 2018-07-02 |
| 修稿时间： | 2018-07-02 |
Research on adaptive capacitance normalization model for electrical capacitance tomography system |
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| ZHANG Lifeng and SONG Yajie. Research on adaptive capacitance normalization model for electrical capacitance tomography system[J]. Electrical Measurement & Instrumentation, 2019, 56(20): 42-46 |
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| Authors: | ZHANG Lifeng and SONG Yajie |
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| Affiliation: | Department of Automation,North China Electric Power University,Department of Automation,North China Electric Power University |
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| Abstract: | Proper normalization of the measured capacitance data is a prerequisite in electrical capacitance tomography (ECT). The adaptive normalization model function relationship is proposed by using the mathematical relationship between parallel and series models in this paper. The factor of adaptive model is calculated based on the ratio of the minimum distance to the maximum distance from the unit to the electrical field centre line (EFCL) in the two regions divided by the electric field centre line. Simulation and experiments results show that the reconstructed image quality of this model is better than parallel and series model. |
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| Keywords: | electrical capacitance tomography image reconstruction capacitance normalization adaptive normalization model electrical field centre line |
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