电容层析成像图像重建算法对比

doi:10.16180/j.cnki.issn1007-7820.2020.11.008

电子科技 ›› 2020, Vol. 33 ›› Issue (11): 41-45.doi: 10.16180/j.cnki.issn1007-7820.2020.11.008

电容层析成像图像重建算法对比

祝光泉¹,杨海马¹,李筠¹,杨萍²

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

收稿日期:2019-08-30 出版日期:2020-11-15 发布日期:2020-11-27
作者简介:祝光泉(1992-),男,硕士研究生。研究方向:仪器与测试技术和图像处理与识别等。|杨海马(1979-),男,博士,副教授。研究方向:光电检测设备开发及信号处理算法的应用。
基金资助:
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)

Comparison of Image Reconstruction Algorithms of Electrical Capacitance Tomography

ZHU Guangquan¹,YANG Haima¹,LI Jun¹,YANG Ping²

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

Received:2019-08-30 Online:2020-11-15 Published:2020-11-27
Supported by:
Shanghai Natural Science Foundation(17ZR1443500);Shanghai Aerospace Science and Technology Innovation Fund(SAST2017-062);Baoshan District Science and Technology Innovation Special Fund(17-C-21)

摘要/Abstract

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。

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

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.

Key words: electrical capacitance tomography, image reconstruction, correlation coefficient, MATLAB, image error, algorithm comparison

中图分类号:

TP391

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, 2020, 33(11): 41-45.

ZHU Guangquan,YANG Haima,LI Jun,YANG Ping. Comparison of Image Reconstruction Algorithms of Electrical Capacitance Tomography[J]. Electronic Science and Technology, 2020, 33(11): 41-45.

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参考文献 17

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	两圆流	核心流	层流	环流
LBP算法	21.967	12.448	15.817	19.882
SVD算法	14.654	14.565	16.264	21.020
ART算法	13.401	13.956	17.189	19.565
Landweber算法	12.829	13.387	15.412	19.365
Tikhonov正则化算法	19.438	20.452	17.782	21.179

	两圆流	核心流	层流	环流
LBP算法	0.638	0.931	0.882	0.819
SVD算法	0.884	0.934	0.880	0.776
ART算法	0.909	0.941	0.858	0.824
Landweber算法	0.911	0.940	0.888	0.843
Tikhonov正则化算法	0.741	0.798	0.857	0.836

	两圆流	核心流	层流	环流
LBP算法	0.007 69	0.065 9	0.007 45	0.016 1
SVD算法	3.181 00	3.295 0	3.181 00	3.189 0
Landweber算法	5.412 00	4.835 0	4.379 00	4.318 0
ART算法	5.114 00	5.099 0	5.167 00	4.648 0
Tikhonov正则化算法	6.228 00	6.430 0	6.333 00	6.111 0

电容层析成像图像重建算法对比

Comparison of Image Reconstruction Algorithms of Electrical Capacitance Tomography

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