Electrical capacitance tomography image reconstruction based on singular value decomposition

2004 ◽  
Author(s):  
Hua Yan ◽  
Chunting Liu ◽  
Jing Gao
Keyword(s):  
Image Reconstruction ◽  
Singular Value Decomposition ◽  
Singular Value ◽  
Electrical Capacitance Tomography ◽  
Electrical Capacitance ◽  
Tomography Image ◽  
Value Decomposition ◽  
Capacitance Tomography

scholarly journals Analysis and Performance Evaluation of Entropic Thresholding Image Processing Techniques for Electrical Capacitance Tomography Measurement System

2021 ◽  
Vol 47 (3) ◽  
pp. 928-942
Author(s):  
Josiah Nombo ◽  
Alfred Mwambela ◽  
Michael Kisngiri
Keyword(s):  
Image Reconstruction ◽  
Measurement System ◽  
Computational Cost ◽  
Quantitative Information ◽  
Electrical Capacitance Tomography ◽  
Electrical Capacitance ◽  
Industrial Utilization ◽  
And Performance ◽  
Value Decomposition ◽  
Capacitance Tomography

To improve image quality generated from the electrical capacitance tomography measurement system, the use of entropic thresholding techniques is investigated in this article. Based on the analysis of the principle of Electrical Capacitance Tomography (ECT) image reconstruction and entropic thresholding, various algorithms have been proposed for easy extraction of quantitative information from tomograms generated from the ECT system. Experiments indicate that proposed algorithms can provide high-quality images at no or minimum computational cost. It is easier to implement and integrate with classical algorithms such as Linear Back Projection, Singular value decomposition, Tikhonov regularization, and Landweber. Entropic thresholding techniques present a feasible and effective way toward the industrial utilization of ECT measurement systems. Keywords: Electrical Capacitance Tomography; Inverse Problem; Image Reconstruction; Entropic Thresholding

scholarly journals A Superresolution Image Reconstruction Algorithm Based on Landweber in Electrical Capacitance Tomography

2013 ◽  
Vol 2013 ◽  
pp. 1-8 ◽  
Author(s):  
Chen Deyun ◽  
Li Zhiqiang ◽  
Gao Ming ◽  
Wang Lili ◽  
Yu Xiaoyang
Keyword(s):  
Image Reconstruction ◽  
Reconstruction Algorithm ◽  
Electrical Capacitance Tomography ◽  
Electrical Capacitance ◽  
Image Reconstruction Algorithm ◽  
Tomography System ◽  
Tomography Image ◽  
Working Principle ◽  
The Stability ◽  
Capacitance Tomography

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.

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