Improvement of image reconstruction in electrical capacitance tomography (ECT) by sectorial sensitivity matrix using a K-means clustering algorithm. (4th June 2019)
- Record Type:
- Journal Article
- Title:
- Improvement of image reconstruction in electrical capacitance tomography (ECT) by sectorial sensitivity matrix using a K-means clustering algorithm. (4th June 2019)
- Main Title:
- Improvement of image reconstruction in electrical capacitance tomography (ECT) by sectorial sensitivity matrix using a K-means clustering algorithm
- Authors:
- Darma, P N
Baidillah, M R
Sifuna, M W
Takei, M - Abstract:
- Abstract: A sectorial sensitivity matrix using a K -means clustering algorithm has been proposed for electrical capacitance tomography (ECT) for accurate determination of permittivity distribution in the inclusion within the background area. The proposed sectorial sensitivity matrix clusters the pixel position of the inclusion area to minimize the soft field effect that leads to image artifacts and blurred images. The standard sensitivity matrix is nonlinear thus it is not easy to eliminate image artifacts due to the noise signal and nonlinear electric field propagation. The performance of the sectorial sensitivity matrix is evaluated through numerical simulation and experimental studies. From the results, the sectorial sensitivity matrix improves the reconstructed images with a 42.92% and 67.12% lower root mean square error RMSE, 1.66% and 16.16% higher correlation coefficient CC, and 21.37% lower image error IE values in the simulation and experimental studies respectively as compared to the standard sensitivity matrix. The sectorial sensitivity matrix has an advantage of high performance even when the signal to noise ratio in an ECT system is low. Under such conditions, the present normalization method is incapable of calculating the normalized capacitance of the inclusion due to the low ratio of permittivity of the inclusion to that of the background.
- Is Part Of:
- Measurement science & technology. Volume 30:Number 7(2019:Jul.)
- Journal:
- Measurement science & technology
- Issue:
- Volume 30:Number 7(2019:Jul.)
- Issue Display:
- Volume 30, Issue 7 (2019)
- Year:
- 2019
- Volume:
- 30
- Issue:
- 7
- Issue Sort Value:
- 2019-0030-0007-0000
- Page Start:
- Page End:
- Publication Date:
- 2019-06-04
- Subjects:
- sensitivity matrix -- sectorial sensitivity matrix -- K-means clustering -- electrical capacitance tomography -- ECT
Physical measurements -- Periodicals
Scientific apparatus and instruments -- Periodicals
Equipment and Supplies -- Periodicals
Science -- instrumentation -- Periodicals
Technology -- instrumentation -- Periodicals
Mesures physiques -- Périodiques
Physical measurements
Scientific apparatus and instruments
Periodicals
502.87 - Journal URLs:
- http://iopscience.iop.org/0957-0233/ ↗
http://www.iop.org/Journals/mt ↗
http://ioppublishing.org/ ↗ - DOI:
- 10.1088/1361-6501/ab1022 ↗
- Languages:
- English
- ISSNs:
- 0957-0233
- Deposit Type:
- Legaldeposit
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- Available online (eLD content is only available in our Reading Rooms) ↗
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