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A New Image Reconstruction Method lor Electrical Charge Tomography System

机译:电荷层析成像系统的一种新的图像重建方法

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摘要

Image reconstruction is vital for process tomography system. Due to industrial demand for process monitoring and control of solid transport in pneumatic conveyor, electrical charge tomography system using electrostatic charge carried by particles has become vital and attract the attention of many researchers. Three image reconstruction algorithm methods known as linear back projection, filtered back projection and least square methods are actively discussed by researchers. In this paper, a new image reconstruction algorithm called least square with regularization (LSR) method will be introduced to improve the previously mentioned method applied in electrical charge tomography. Simulation and experimental data had been used to reconstruct the image. The results were compared and it indicated that LSR method showed better improvement in terms of stability and accuracy of the image.
机译:图像重建对于过程层析成像系统至关重要。由于工业上需要对气动输送机中的过程进行监视和控制,因此利用粒子携带的静电荷的电荷层析成像系统已变得至关重要,并吸引了许多研究人员的注意。研究人员积极讨论了三种图像重建算法方法,即线性反投影,滤波反投影和最小二乘法。本文将介绍一种称为正则化最小二乘(LSR)方法的新图像重建算法,以改进先前在电荷层析成像中应用的方法。仿真和实验数据已用于重建图像。比较结果表明,LSR方法在图像的稳定性和准确性方面表现出更好的改进。

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