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A novel image reconstruction algorithm accelerated based on polynomials for electrical capacitance tomography system

机译:基于多项式加速的电容层析成像系统图像重建新算法

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To solve the problem of two-phase flow measurement for electrode electrical capacitance tomography (ECT), on the basis of analyzing ECT system measurement principle, we constructed the mathematical model of two-phase flow distribution information according to double integral infinitesimal principle, and formed a set of 12-Electrode two-phase ECT system. And to speed up the slow convergence rate of ordinary iteration method, a novel regularization image reconstruction algorithm Accelerated based on the Polynomials of for electrical capacitance tomography is presented. Experimental results and simulation data indicate that the algorithm can provide high quality images with less reconstruction time and few iteration steps and this new algorithm presents a feasible and effective way to research of image reconstruction algorithm for Electrical Capacitance Tomography System.
机译:为解决电极电容层析成像(ECT)的两相流测量问题,在分析ECT系统测量原理的基础上,根据双积分无穷小原理构造了两相流分布信息的数学模型,并形成了一套12电极两相ECT系统。为了加快普通迭代方法的收敛速度,提出了一种基于电容层析成像多项式加速的正则化图像重建算法。实验结果和仿真数据表明,该算法可以提供较少重建时间和迭代步骤的高质量图像,为电容层析成像系统图像重建算法的研究提供了一种可行而有效的途径。

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