| 改进归一化方法对ECT重建图像质量的影响 |
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| 引用本文： | 郭志恒,邵富群.改进归一化方法对ECT重建图像质量的影响[J].沈阳工业大学学报,2013,35(4):432-437. |
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| 作者姓名： | 郭志恒 邵富群 |
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| 作者单位： | 1 电子科技大学 中山学院， 广东 中山 528402； 2. 东北大学 信息科学与工程学院， 沈阳 |
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| 基金项目： | 广东省自然科学基金资助项目(10452840301005273);电子科技大学中山学院科研启动基金资助项目(409YKQ03) |
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| 摘 要： | 为了提高电容层析成像（ECT）系统重建图像的质量，提出一种改进的电容测量值归一化方法.在典型流型分布下，对使用不同归一化方法情况下的正则化迭代算法和Landweber迭代算法的重建结果进行比较，分析了不同归一化方法对这两种常用迭代算法重建图像质量的影响.实验结果表明：对于三种典型流型的多数相含率分布情况，采用改进的归一化方法能够减小系统线性近似求解的偏差，提高两种迭代重建算法的重建图像质量.
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| 关 键 词： | 电容层析成像 归一化方法 串并联模型 叠加原理 加权平均值 线性期望值 迭代算法 线性近似解 |
Effect of improved normalization method on reconstructed image quality of ECT |
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| GUO Zhi-heng,SHAO Fu-qun.Effect of improved normalization method on reconstructed image quality of ECT[J].Journal of Shenyang University of Technology,2013,35(4):432-437. |
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| Authors: | GUO Zhi-heng SHAO Fu-qun |
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| Affiliation: | 1. Zhongshan Institute, University of Electronic Science and Technology of China, Zhongshan 528402, China; 2. School of Information Science and Engineering, Northeastern University, Shenyang 110819, China |
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| Abstract: | In order to improve the reconstructed image quality of electrical capacitance tomography（ECT）, an improved normalization method for the measured values of electrical capacitance was proposed. Under the typical flow pattern distribution, the reconstructed results of both regularization and Landweber iterative algorithms with different normalization methods were compared, and the influence of different normalization methods on the reconstructed image quality of two commonly used iterative algorithms was analyzed. The results show that for the distribution of most phase volume fraction of three typical flow patterns, the improved normalization method can reduce the error of linear approximation solution of the system, and enhance the reconstructed image quality of two iterative reconstructed algorithms. |
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| Keywords: | electrical capacitance tomography normalization method parallel and series model superposition theorem weighted average linear expectation value iterative algorithm linear approximation solution |
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