Name
Abstract | ||
|---|---|---|
Planar electrical capacitance tomography (PECT) is sensitive to the dielectric changes in its proximity; therefore, it has an attractive prospect in the non-destructive evaluation for the non-metallic composite materials. Currently, the planar ECT employs the static image method for the defect detection, which uses an individual frame of measurements for image reconstruction. The use of static image methods for defect detection depends greatly on the spatial resolution of image reconstruction algorithms. However, the ECT static images are usually of low spatial resolution, primarily due to the ill-posedness in solving its inverse problem. In this article, a dynamic imaging method has been proposed, aiming to detect the small defects from the temporally consecutive images. The Tikhonov regularization method is first employed for achieving the static image reconstructions. In addition, the level set method has been utilized for the image segmentation to distinguish between the defect and background materials. Subsequently, the dynamic imaging method that based on the frame-difference methods has been used for calculating the contour of target defects. The numerical simulations and experiments showed that the defect of different sizes and shapes could be figured out using the dynamic imaging method. It also can be shown that the dynamic imaging method offers more possibilities and ways in detecting the defects. |
Year | DOI | Venue |
|---|---|---|
2022 | 10.1109/TIM.2022.3180438 | IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT |
Keywords | DocType | Volume |
Electrodes, Imaging, Capacitance, Capacitance measurement, Robot sensing systems, Image reconstruction, Sensitivity, Capacitance imaging (CI), electrical capacitance tomography (ECT), image reconstruction, non-destructive test (NDT), planar sensor, sensitivity | Journal | 71 |
ISSN | Citations | PageRank |
0018-9456 | 0 | 0.34 |
References | Authors | |
0 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ziqiang Cui | 1 | 1 | 3.74 |
| Yu Sun | 2 | 208 | 35.82 |
| Lifeng Zhang | 3 | 0 | 0.68 |
| Huaxiang Wang | 4 | 81 | 19.60 |