Image reconstruction algorithm for electrical charge tomography system
Problem statement: Many problems in scientific computing can be formulated as inverse problem. A vast majority of these problems are ill-posed problems. In Electrical Charge Tomography (EChT), normally the sensitivity matrix generated from forward modeling is very ill-condition. This condition posts...
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Science Publications
2010
|
| Online Access: | http://psasir.upm.edu.my/id/eprint/15093/ http://psasir.upm.edu.my/id/eprint/15093/1/ajassp.2010.1254.1263.pdf |
| _version_ | 1848842580388741120 |
|---|---|
| author | Rahmat, Mohd Fua'ad Isa, Mohd Daud Jusoff, Kamaruzaman Raja Hussin, Tengku Ahmad Badrul Shah Md Rozali, Sahazati |
| author_facet | Rahmat, Mohd Fua'ad Isa, Mohd Daud Jusoff, Kamaruzaman Raja Hussin, Tengku Ahmad Badrul Shah Md Rozali, Sahazati |
| author_sort | Rahmat, Mohd Fua'ad |
| building | UPM Institutional Repository |
| collection | Online Access |
| description | Problem statement: Many problems in scientific computing can be formulated as inverse problem. A vast majority of these problems are ill-posed problems. In Electrical Charge Tomography (EChT), normally the sensitivity matrix generated from forward modeling is very ill-condition. This condition posts difficulties to the inverse problem solution especially in the accuracy and stability of the image being reconstructed. The objective of this study is to reconstruct the image cross-section of the material in pipeline gravity dropped mode conveyor as well to solve the ill-condition of matrix sensitivity. Approach: Least Square with Regularization (LSR) method had been introduced to reconstruct the image and the electrodynamics sensor was used to capture the data that installed around the pipe. Results: The images were validated using digital imaging technique and Singular Value Decomposition (SVD) method. The results showed that image reconstructed by this method produces a good promise in terms of accuracy and stability. Conclusion: This implied that LSR method provides good and promising result in terms of accuracy and stability of the image being reconstructed. As a result, an efficient method for electrical charge tomography image reconstruction has been introduced. |
| first_indexed | 2025-11-15T08:01:23Z |
| format | Article |
| id | upm-15093 |
| institution | Universiti Putra Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T08:01:23Z |
| publishDate | 2010 |
| publisher | Science Publications |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | upm-150932017-11-30T09:20:03Z http://psasir.upm.edu.my/id/eprint/15093/ Image reconstruction algorithm for electrical charge tomography system Rahmat, Mohd Fua'ad Isa, Mohd Daud Jusoff, Kamaruzaman Raja Hussin, Tengku Ahmad Badrul Shah Md Rozali, Sahazati Problem statement: Many problems in scientific computing can be formulated as inverse problem. A vast majority of these problems are ill-posed problems. In Electrical Charge Tomography (EChT), normally the sensitivity matrix generated from forward modeling is very ill-condition. This condition posts difficulties to the inverse problem solution especially in the accuracy and stability of the image being reconstructed. The objective of this study is to reconstruct the image cross-section of the material in pipeline gravity dropped mode conveyor as well to solve the ill-condition of matrix sensitivity. Approach: Least Square with Regularization (LSR) method had been introduced to reconstruct the image and the electrodynamics sensor was used to capture the data that installed around the pipe. Results: The images were validated using digital imaging technique and Singular Value Decomposition (SVD) method. The results showed that image reconstructed by this method produces a good promise in terms of accuracy and stability. Conclusion: This implied that LSR method provides good and promising result in terms of accuracy and stability of the image being reconstructed. As a result, an efficient method for electrical charge tomography image reconstruction has been introduced. Science Publications 2010 Article PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/15093/1/ajassp.2010.1254.1263.pdf Rahmat, Mohd Fua'ad and Isa, Mohd Daud and Jusoff, Kamaruzaman and Raja Hussin, Tengku Ahmad Badrul Shah and Md Rozali, Sahazati (2010) Image reconstruction algorithm for electrical charge tomography system. American Journal of Applied Sciences, 7 (9). pp. 1254-1263. ISSN 1546-9239; ESSN: 1554-3641 http://thescipub.com/abstract/10.3844/ajassp.2010.1254.1263 10.3844/ajassp.2010.1254.1263 |
| spellingShingle | Rahmat, Mohd Fua'ad Isa, Mohd Daud Jusoff, Kamaruzaman Raja Hussin, Tengku Ahmad Badrul Shah Md Rozali, Sahazati Image reconstruction algorithm for electrical charge tomography system |
| title | Image reconstruction algorithm for electrical charge tomography system |
| title_full | Image reconstruction algorithm for electrical charge tomography system |
| title_fullStr | Image reconstruction algorithm for electrical charge tomography system |
| title_full_unstemmed | Image reconstruction algorithm for electrical charge tomography system |
| title_short | Image reconstruction algorithm for electrical charge tomography system |
| title_sort | image reconstruction algorithm for electrical charge tomography system |
| url | http://psasir.upm.edu.my/id/eprint/15093/ http://psasir.upm.edu.my/id/eprint/15093/ http://psasir.upm.edu.my/id/eprint/15093/ http://psasir.upm.edu.my/id/eprint/15093/1/ajassp.2010.1254.1263.pdf |