Abstract

According to the image reconstruction accuracy influenced by the “soft field” nature and ill-conditioned problems in electrical capacitance tomography, a superresolution image reconstruction algorithm based on Landweber is proposed in the paper, which is based on the working principle of the electrical capacitance tomography system. The method uses the algorithm which is derived by regularization of solutions derived and derives closed solution by fast Fourier transform of the convolution kernel. So, it ensures the certainty of the solution and improves the stability and quality of image reconstruction results. Simulation results show that the imaging precision and real-time imaging of the algorithm are better than Landweber algorithm, and this algorithm proposes a new method for the electrical capacitance tomography image reconstruction algorithm.

Highlights

  • Electrical capacitance tomography (ECT) is a high-tech cross-section detection technology in recent years, and it can achieve the visualization measurement of the multiphase media component parameter in the closed pipe and process container equipment

  • There are many methods about the ECT image reconstruction, such as the linear back projection (LBP), regularization method, Landweber iterative method [2], genetic algorithms [3], projection Landweber iterative method, conjugate gradient method [4], improved Gauss-Newton method [5], and acceleration algorithm based on polynomial [6]

  • In order to evaluate the imaging performance of the super resolution image reconstruction algorithm based on Landweber in Electrical Capacitance Tomography, Landweber algorithm is used for comparative evaluation

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Summary

Introduction

Electrical capacitance tomography (ECT) is a high-tech cross-section detection technology in recent years, and it can achieve the visualization measurement of the multiphase media component parameter in the closed pipe and process container equipment. The ECT technology could be able to obtain the permittivity distribution inside the pipeline through measuring the capacitance values between the different plates of the capacitive sensing electrode array around the pipeline It has the advantages of noninvasive, simple structure, low cost, fast response, good safety performance, wide application range, and so forth. There are three principal factors with image reconstruction for the electrical capacitance tomography system It is the “soft field” effect; the sensitivity performance is in homogeneity affected by the medium distribution. Due to the nonlinear and the “soft field” effect, the stability of the ECT system is poor and seriously pathological It is difficult for image reconstruction [1]. It is specially worth mentioning that the online preiterative method (OIOR) based on Landweber iterative method has the same imaging quality with several Landweber iterations under the same speed with LBP, but its spatial resolution has yet to exceed Landweber method

Basic Principle of ECT System
The Principle of the Landweber Iterative Algorithms
Superresolution Image Reconstruction Algorithm
Experimental Results and Analysis
81.37 Landweber algorithm
Conclusions
Full Text
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