Dual background image reconstruction and fusion method for electrical capacitance tomography

By constructing a capacitance tomography system model, utilizing the sensitivity fields of medium A and medium B and the Landweber iterative algorithm, combined with physical consistency constraints, the underdetermined and nonlinear problems in capacitance tomography technology are solved, thereby improving the accuracy and consistency of image reconstruction.

CN122244239APending Publication Date: 2026-06-19LIAONING UNIVERSITY
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Patent Information

Application Number
CN202610336470.8
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2026-03-19
Publication Date
2026-06-19

AI Technical Summary

Technical Problem

Capacitive tomography suffers from underdeterminism, pathological conditions, nonlinearity, and "soft field" problems, resulting in low image reconstruction accuracy and unsatisfactory reconstruction of medium edges.

Method used

A capacitance tomography system model was constructed, and the sensitivity fields with medium A and medium B as backgrounds were obtained respectively. The Landweber iterative algorithm was used for image reconstruction, and the fused image reconstruction result was output by combining the two background relationships through physical consistency constraints.

Benefits of technology

It significantly improves the quality of reconstructed images, makes the medium distribution closer to the real distribution, and enhances the robustness and consistency of image reconstruction.

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Abstract

The invention relates to a dual background image reconstruction and fusion method for electrical capacitance tomography, which comprises the following steps of: (1) constructing an electrical capacitance tomography system model, and respectively obtaining two electrical capacitance tomography system sensitivity fields forming a dual background relationship; (2) respectively acquiring capacitance measurement data of the pipeline filled with the first medium A and the second medium B; meanwhile, capacitance measurement data with the first medium A as the background and the second medium B as the measured object are obtained. And (3) performing image reconstruction by using a Landweber iterative algorithm with the first medium A and the first medium B as backgrounds to obtain image reconstruction results of the first medium A and the first medium B. And (4) fusing the reconstructed image result based on physical consistency constraint, and outputting a final fused image reconstruction result. According to the method, the quality of the reconstructed image is improved, and the reconstructed medium distribution is closer to real distribution; and meanwhile, the robustness and the consistency of an image reconstruction result are also improved.
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