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- W2044403228 abstract "Owing to distinct advantages such as the easy implementation, low cost, high safety and non-intrusive sensing, the electrical capacitance tomography (ECT) is considered as a promising visualization measurement technique, in which reconstructing high quality images is highly desirable for real applications. In this paper, a multi-scale dynamic reconstruction model, which simultaneously utilizes the ECT measurement information and the dynamic evolution information of a dynamic object, is presented. The original dynamic image reconstruction problem is decomposed into a sequence of inverse problems, which are solved successively from the largest scale to the original scale. A generalized objective functional that considers the ECT measurement information, the dynamic evolution information of a dynamic object, the temporal constraint and the spatial constraint is proposed. An iterative algorithm, which integrates the beneficial advantages of the evolutionary strategy (ES) algorithm and the homotopy method, is designed for solving the proposed objective functional. Numerical simulations are implemented to evaluate the feasibility of the proposed algorithm. For the cases simulated in this paper, the quality of the images reconstructed by the proposed algorithm is improved, which indicates that the proposed algorithm is successful in solving ECT inverse problems." @default.
- W2044403228 created "2016-06-24" @default.
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- W2044403228 date "2013-06-01" @default.
- W2044403228 modified "2023-09-25" @default.
- W2044403228 title "Generalized multi-scale dynamic inversion algorithm for electrical capacitance tomography" @default.
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- W2044403228 doi "https://doi.org/10.1016/j.flowmeasinst.2012.10.012" @default.
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