Abstract：Aiming at the ill-conditioned inverse problem of electrical capacitance tomography (ECT), a method of introducing convolution sparse coding model into ECT least squares problem as penalty is proposed. The model is solved by pre-trained filter and alternating direction method of multipliersr algorithm (ADMM), and the ECT image reconstruction is completed. The proposed method is simulated and tested experimentally, and compared with LBP, Tikhonov regularization and Landweber iterative algorithm. The results show that the average relative error and correlation coefficient of the reconstructed image obtained by the proposed method are 0.4389 and 0.8968, respectively, which are superior to the other three methods, and the reconstruction quality of central object and multi-object distribution is significantly improved.
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2023, Vol. 44 
