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Total fractional-order variation regularization based image reconstruction method for capacitively coupled electrical resistance tomography
روش بازسازی تصویر مبتنی بر تنظیم تغییرات مرتبه کسری کل برای توموگرافی مقاومت الکتریکی جفت شده خازنی-2021 Compared with electrical resistance tomography, capacitively coupled electrical resistance tomography (CCERT)
is preferred since it avoids problems of electrode corrosion and electrode polarization. However, reconstruction
of conductivity distribution is still a great challenge for CCERT. To improve reconstruction quality, this work
proposes a novel image reconstruction method based on total fractional-order variation regularization. Simulation work is conducted and reconstruction of several typical models is studied. Robustness of the proposed
method to noise is also conducted. Additionally, the performance of the proposed reconstruction method is
quantitatively evaluated. We have also carried out phantom experiment to further verify the effectiveness of the
proposed method. The results demonstrate that the quality of reconstruction has been largely improved when
compared with the images reconstructed by Land weber, Newton-Raphson and Tikhonov methods. The inclusion
is more accurately reconstructed and the background is much clearer even under the impact of noise.
Keywords: Capacitively coupled electrical resistance | tomography | Image reconstruction | Total fractional-order variation regularization |
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