ECT Image Reconstruction Algorithm Based on Improved Forword-Backword Spliting Algorithm
Aiming at the ill posedness and real-time requirements of ECT image reconstruction,an ECT image reconstruction algorithm based on improved forword-backword splitting(FBS)algorithm is proposed.Firstly,the ECT inverse problem solving model based on FBS algorithm is established to improve the speed of ECT image reconstruction.Secondly,the GMC penalty term is applied to ECT im-age reconstruction instead of L1 norm to improve the sparsity of the reconstruction solution to obtain more accurate feature signals.Fi-nally,the FBS image reconstruction model based on GMC penalty term is established and solved.COMSOL5.3 and MATLAB2014 soft-ware are used to build a joint simulation platform.The simulation results show that the improved algorithm can increase the imaging cor-relation coefficient of the core flow model to 0.934 5,and the imaging time can reach 0.094 5 s.Compared with Tikhonov regularization algorithm and Landweber algorithm,the imaging speed and quality are significantly improved.The actual experiments show that the im-proved algorithm has better reliability and real-time feature.
electrical capacitance tomographyimage reconstructionimproved FBS algorithmnon-convex penalty function
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