电容层析成像图像重建算法对比

doi:10.16180/j.cnki.issn1007-7820.2020.11.008

Abstract

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

CLC Number:

TP391

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.

Figures/Tables 6

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Table 1

Table 2

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References 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

Comparison of Image Reconstruction Algorithms of Electrical Capacitance Tomography

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