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

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
LIAONING UNIVERSITY
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

This invention relates to a method for dual background image reconstruction and fusion in capacitance tomography, the method being as follows: (1) Constructing a capacitance tomography system model and obtaining the sensitivity fields of two capacitance tomography systems that form a dual background relationship. (2) Obtaining capacitance measurement data of a pipe filled with a first medium A and a second medium B; simultaneously obtaining capacitance measurement data with the first medium A as the background and the second medium B as the object under test. (3) Using the Landweber iterative algorithm, reconstructing images with the first medium A and the first medium B as the background respectively, and obtaining their reconstructed image results. (4) Fusing the reconstructed image results based on physical consistency constraints, and outputting the final fused image reconstruction result. This invention improves the quality of the reconstructed image, making the reconstructed medium distribution closer to the real distribution; it also improves the robustness and consistency of the image reconstruction results.
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