Memetic reconstruction algorithm for the ECT

Tong, Guowei; Chen, Hongyan; Shi, Liwei

doi:10.1049/iet-smt.2018.5241

Cited by 3 publications

(1 citation statement)

References 35 publications

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“…In comparison to the non-iterative algorithms, the iterative algorithm often has higher imaging accuracy. Common iterative algorithms include the algebraic reconstruction technique (ART) [11], the simultaneous iterative reconstruction technique (SIRT) [12], the Landweber algorithm [13], the conjugate gradient (CG) method [14], the gene algorithm (GA) [15], the L 1 regularization technique (LRT) [16], the nuclear norm regularization technique (NNRT) [17], etc. The ART only uses a set of projection data for each iteration, which has a lower computational cost [18].…”

Section: Introductionmentioning

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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