| 电容层析成像图像重建算法对比 |
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| 引用本文： | 祝光泉,杨海马,李筠,杨萍.电容层析成像图像重建算法对比[J].电子科技,2009,33(11):41-45. |
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| 作者姓名： | 祝光泉 杨海马 李筠 杨萍 |
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| 作者单位： | 1.上海理工大学 光电信息与计算机工程学院,上海 200093;2.上海航天设备制造总厂有限公司,上海 2002452 |
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| 基金项目： | 上海市自然科学基金(17ZR1443500);上海航天科技创新基金(SAST2017-062);宝山区科技创新专项基金(17-C-21) |
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| 摘 要： | 图像重建算法在电容层析成像技术的实际应用中起着至关重要的作用。针对图像重建算法的研究,文中将线性反投影法、奇异值分解法、代数重建算法、Landweber算法、Tikhonov正则化算法的基本原理进行对比。基于MATLAB仿真平台对4种多相流流型进行仿真,并从图像误差、相关系数、计算时间3个方面对比重建图像的效果。分析结果表明,直接算法的图像重建速度优于迭代算法,但其图像重建质量劣于迭代算法。
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| 关 键 词： | 电容层析成像 图像重建 相关系数 MATLAB 图像误差 算法对比 |
| 收稿时间： | 2019-08-30 |
Comparison of Image Reconstruction Algorithms of Electrical Capacitance Tomography |
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| ZHU Guangquan,YANG Haima,LI Jun,YANG Ping.Comparison of Image Reconstruction Algorithms of Electrical Capacitance Tomography[J].Electronic Science and Technology,2009,33(11):41-45. |
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| Authors: | ZHU Guangquan YANG Haima LI Jun YANG Ping |
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| Affiliation: | 1. School of Optical-Electrical and Computer Engineering,University of Shanghai for Science and Technology,Shanghai 200093,China;2. Shanghai Aerospace Equipments Manufacturer Co.,Ltd.,Shanghai 200245,China |
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| Abstract: | Image reconstruction algorithm plays a vital role in the practical application of electrical capacitance tomography. For the research of image reconstruction algorithm, the LBP, SVD, ART, Landweber algorithm and Tikhonov regularization algorithm are compared in this study. Four kinds of multiphase flow patterns are simulated based on MATLAB simulation platform, and the effects of reconstructed images are compared in three aspects: image error, correlation coefficient and calculation time. The analysis results show that the image reconstruction speed of the direct algorithm is better than the iterative algorithm, while the image reconstruction quality is worse than the iterative algorithm. |
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| Keywords: | electrical capacitance tomography image reconstruction correlation coefficient MATLAB image error algorithm comparison |
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