ECT image reconstruction based on improved forward problem model and memetic algorithm
In order to improve the image reconstruction quality of electrical capacitance tomography(ECT),an image reconstruction algorithm based on an improved forward problem model and a memetic algorithm,abbreviated as Im-MA algorithm,was proposed.The forward problem model was improved by utilizing smooth filtering and dimension reduction of the sensitivity matrix.An objective function was constructed to transform the image reconstruction problem into an optimization problem by using the L2 norm as data fitting measurement and the total variation as regular term.The objective function was solved by using the memetic algorithm formulated by the combination of sparrow search algorithm and beetle antenna search algorithm.Simulation and experimental results show that the reconstruction error of the Im-MA algorithm is smaller,compared with the commonly used Landweber algorithm,and its reconstructed image is much closer to the real distribution.The Im-MA algorithm provides an effective new way to solve the ECT inverse problem.
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维普
