ECT image reconstruction algorithm based on improved L1-TV regularization

Min Ma; Yue Gu

doi:10.1117/12.2680992

8 June 2023 ECT image reconstruction algorithm based on improved L1-TV regularization

Min Ma, Yue Gu

Proceedings Volume 12707, International Conference on Image, Signal Processing, and Pattern Recognition (ISPP 2023); 1270753 (2023) https://doi.org/10.1117/12.2680992
Event: International Conference on Image, Signal Processing, and Pattern Recognition (ISPP 2023), 2023, Changsha, China

Abstract

Electrical capacitive tomography (ECT) is a promising technology in the visual detection of industrial process parameters. The traditional ECT image reconstruction algorithm uses the solution method based on the sensitivity theory, but the reconstructed image has the problems of low accuracy, large information error and low resolution. An ECT image reconstruction model with L1 and TV regularization is proposed. Based on this reconstruction model, an image reconstruction algorithm is proposed by combining Split-Bregman iteration and TV soft threshold filtering. In this algorithm, the projected data is initially reconstructed through the optimized Split-Bregman iterative algorithm, and then the TV soft threshold filtering is used for the second reconstruction of the reconstructed total variational model. Finally, it is judged whether the convergence threshold is met. If it is met, the reconstruction is finished and the reconstructed image is output. The effectiveness of the proposed algorithm is verified by the simulation experiment, which proves that the proposed algorithm is superior to the traditional image reconstruction algorithm. Meanwhile, the comparison of several evaluation indexes shows that the proposed algorithm has obvious advantages. Experimental results show that the proposed algorithm can effectively remove artifacts and protect image details in image reconstruction.

Citation Download Citation

Min Ma and Yue Gu "ECT image reconstruction algorithm based on improved L1-TV regularization", Proc. SPIE 12707, International Conference on Image, Signal Processing, and Pattern Recognition (ISPP 2023), 1270753 (8 June 2023); https://doi.org/10.1117/12.2680992

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KEYWORDS

Reconstruction algorithms

Image restoration

Bubbles

Dielectrics

Evolutionary algorithms

Mathematical optimization

Matrices

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