一种电容层析成像图像重建优化算法

doi:10.3969/j.issn.1000-1158.2021.09.06

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Abstract An image reconstruction algorithm based on optimization algorithm for electrical capacitance tomography (ECT) is proposed. In order to approximate the regularization minimization problem, the traditional regularization algorithm is transformed into the least squares problem by the lp-norm, and the iterative calculation is performed by the re-weighting method. Simulation experiment and static experiment is carried out for oil-gas two-phase flow model. The presented optimization reconstruction algorithm is compared with the commonly used LBP, Landweber iteration and Tikhonov regularization algorithm. The results show that lower image relative error and obviously improved shape fidelity of the reconstructed images can be obtained using the presented algorithm for the flow patterns which contain the object in the center of the pipe or many objects in the pipe.

Key words： metrology electrical capacitance tomography oil-gas two-phase flow image reconstruction optimization algorithm regularization

Received: 27 September 2019 Published: 24 September 2021

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TB937

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	ZHANG Li-feng
	ZHANG Ming

Cite this article:

ZHANG Li-feng,ZHANG Ming. An Optimized Algorithm for Image Reconstruction of Electrical Capacitance Tomography[J]. Acta Metrologica Sinica, 2021, 42(9): 1155-1159.

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http://jlxb.china-csm.org:81/Jwk_jlxb/EN/10.3969/j.issn.1000-1158.2021.09.06 OR http://jlxb.china-csm.org:81/Jwk_jlxb/EN/Y2021/V42/I9/1155

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