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Sensitivity map generation in electrical capacitance tomography using mixed normalization models

机译:使用混合归一化模型的电容层析成像中的灵敏度图生成

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摘要

This work is concerned with the generation of sensitivity maps in electrical capacitance tomography based on the concepts of electrical field centre lines. Electrical capacitance tomography systems are normalized at the upper and lower permittivity values for image reconstruction. Conventional normalization assumes the distribution of materials in parallel and results in normalized capacitance as a linear function of measured capacitance. A recent approach is the usage of a series sensor model which results in normalized capacitance as a nonlinear function of measured capacitance. In this study different forms of normalizations are combined with sensitivity maps based on electrical field centre lines and it is shown that a mix of two normalization models improves the reconstruction performance.
机译:这项工作涉及基于电场中心线概念的电容层析成像中灵敏度图的生成。电容层析成像系统在上介电常数和下介电常数下进行标准化,以进行图像重建。传统的归一化假设材料是平行分布的,并且导致归一化电容是所测电容的线性函数。最近的方法是使用串联传感器模型,该模型将归一化电容作为测量电容的非线性函数。在这项研究中,将不同形式的归一化与基于电场中心线的灵敏度图相结合,结果表明,两种归一化模型的混合可提高重建性能。

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