Robust dynamic inversion algorithm for the visualization in electrical capacitance tomography

Lei, Jing; Liu, Wuyi; Liu, Q.B.; Wang, X.Y.; Liu, S.

doi:10.1016/j.measurement.2014.01.007

Cited by 25 publications

(6 citation statements)

References 42 publications

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“…It is difficult and complex to solve equation ( 8) directly. Given the recent successes enjoyed by researchers using the Tikhonov regularization technique (TRT) to solve inverse problems, we also use the TRT to solve the inverse problem in equation ( 8) [36]. By using the TRT, equation ( 8) is transformed into the following optimization problem [37]:…”

Section: Objective Functionmentioning

confidence: 99%

A novel computational imaging algorithm based on split Bregman iterative for electrical capacitance tomography

Qing

Shi

Chai

et al. 2021

Meas. Sci. Technol.

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As an advanced detection technology in the industrial field, electrical capacitance tomography (ECT) can better reconstruct the material distribution state in the measured area by selecting the appropriate algorithm. In order to improve the reconstruction quality, this paper devises a novel objective function to model the ECT image reconstruction problem, in which L 1 -norm is deployed as data fidelity with the focus on weakening the influence of capacitance outliers on the reconstruction quality, L P regularization reinforces the sparseness of the phantom objects, and L 1 regularization applies to model deviation variables to increase the robustness of the system. Based on the fast-iterative shrinkage thresholding technique and the soft thresholding method as sub-solvers, the split Bregman iterative method is designed as an effective solver for the proposed objective function. Numerical simulation and experimental validate that the proposed algorithm has excellent imaging ability compared with other imaging algorithms, which provides a good choice for the practical application of ECT in the future.

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Section: Objective Functionmentioning

confidence: 99%

A novel computational imaging algorithm based on split Bregman iterative for electrical capacitance tomography

Qing

Shi

Chai

et al. 2021

Meas. Sci. Technol.

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“…Wang et al (2015) put forward a new image reconstruction algorithm with the least squares support vector machines and the simulated annealing particle swarm optimization algorithm, and experimental results validate the effectiveness of the proposed algorithm. Lei et al (2014) developed a robust dynamic reconstruction model that incorporates the ECT measurement information and the dynamic evolution information of a dynamic object, and the feasibility is numerically validated.…”

Section: Related Workmentioning

confidence: 99%

Computationally efficient image reconstruction algorithm for electrical capacitance tomography

Tong

Shi

2018

Transactions of the Institute of Measurement and Control

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The electrical capacitance tomography (ECT) is a visualization measurement method and can reconstruct the spatial permittivity distribution information in a measurement domain based on given capacitance values, in which the effectiveness of the image reconstruction algorithm plays a vital role in real-world engineering applications. Unlike common imaging methods, within the framework of the Tikhonov regularization methodology and the transform-domain sparsity method, a new cost function encapsulating the wavelet-based sparsity constraint is proposed to model the ECT imaging problem. An iteration scheme that integrates the superiorities of the alternating direction method of multipliers algorithm and splits a complicated optimization problem into several simpler sub-problems is developed to seek for the optimal solution of the proposed cost function. Numerical experiments validate that the proposed imaging algorithm is practicable and effective, and can improve the reconstruction accuracy and robustness.

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“…In general, they can be categorized into two groups: non-iterative (or single step) algorithms (e.g., Tikhonov Algorithm [9], Linear Back Projection (LBP) Algorithm [10], etc. ), and iterative algorithms (e.g., SIRT Algorithm [12], Landweber Algorithm [13], etc.). Here, we introduce two typical algorithms.…”

Section: Reconstruction Algorithm Of Imagementioning

confidence: 99%

“…The Landweber algorithm [13] is an iterative algorithm and is developed based on the foundation of steepest descent method. Up to now, the Landweber algorithm has been widely used in the field of ECT.…”

Section: Reconstruction Algorithm Of Imagementioning

confidence: 99%

See 1 more Smart Citation

Defect Detection of Adhesive Layer of Thermal Insulation Materials Based on Improved Particle Swarm Optimization of ECT

Wen

Jia

Zhang

et al. 2017

Sensors

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This paper studies the defect detection problem of adhesive layer of thermal insulation materials. A novel detection method based on an improved particle swarm optimization (PSO) algorithm of Electrical Capacitance Tomography (ECT) is presented. Firstly, a least squares support vector machine is applied for data processing of measured capacitance values. Then, the improved PSO algorithm is proposed and applied for image reconstruction. Finally, some experiments are provided to verify the effectiveness of the proposed method in defect detection for adhesive layer of thermal insulation materials. The performance comparisons demonstrate that the proposed method has higher precision by comparing with traditional ECT algorithms.

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Robust dynamic inversion algorithm for the visualization in electrical capacitance tomography

Cited by 25 publications

References 42 publications

A novel computational imaging algorithm based on split Bregman iterative for electrical capacitance tomography

A novel computational imaging algorithm based on split Bregman iterative for electrical capacitance tomography

Computationally efficient image reconstruction algorithm for electrical capacitance tomography

Defect Detection of Adhesive Layer of Thermal Insulation Materials Based on Improved Particle Swarm Optimization of ECT

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