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Image reconstruction method for electrical capacitance tomography based on the combined series and parallel normalization model

机译:基于串联和并行归一化模型相结合的电容层析成像图像重建方法

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摘要

In this paper, a novel image reconstruction method for electrical capacitance tomography (ECT) based on the combined series and parallel model is presented. A regularization technique is used to obtain a stabilized solution of the inverse problem. Also, the adaptive coefficient of the combined model is deduced by numerical optimization. Simulation results indicate that it can produce higher quality images when compared to the algorithm based on the parallel or series models for the cases tested in this paper. It provides a new algorithm for ECT application.
机译:本文提出了一种基于串联和并联组合模型的电容层析成像图像重建新方法。使用正则化技术来获得反问题的稳定解。另外,通过数值优化推导组合模型的自适应系数。仿真结果表明,与基于并行或串行模型的算法相比,本文可以生成更高质量的图像。它为ECT应用提供了一种新算法。

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