Image reconstruction of metal pipe in electrical resistance tomography
This paper demonstrates a Linear Back Projection (LBP) algorithm based on the reconstruction of conductivity distributions to identify different sizes and locations of bubble phantoms in a metal pipe. Both forward and inverse problems are discussed. Reconstructed images of the phantoms under test co...
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| 格式: | Article |
| 語言: | English |
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International Frequency Sensor Association (IFSA) Publishing
2017
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| 主題: | |
| 在線閱讀: | http://eprints.uthm.edu.my/5171/1/AJ%202017%20%28302%29%20Image%20reconstruction%20of%20metal%20pipe.pdf |
| _version_ | 1825709977951535104 |
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| author | Ridzuan Aw, Suzanna Abdul Rahim, Ruzairi Mohd Yunus, Yusri Rahiman, Mohd Hafiz Fazalul Wahab, Yasmin Mohd Yunus, Fazlul Rahman Mohamed, Elmy Johana Abdul Aziz, Azian Chiew, Loon Goh Pusppanathan, Jayasuman Green, R. G. Zhen, Cong Tee |
| author_facet | Ridzuan Aw, Suzanna Abdul Rahim, Ruzairi Mohd Yunus, Yusri Rahiman, Mohd Hafiz Fazalul Wahab, Yasmin Mohd Yunus, Fazlul Rahman Mohamed, Elmy Johana Abdul Aziz, Azian Chiew, Loon Goh Pusppanathan, Jayasuman Green, R. G. Zhen, Cong Tee |
| author_sort | Ridzuan Aw, Suzanna |
| collection | UTHM |
| description | This paper demonstrates a Linear Back Projection (LBP) algorithm based on the reconstruction of conductivity distributions to identify different sizes and locations of bubble phantoms in a metal pipe. Both forward and inverse problems are discussed. Reconstructed images of the phantoms under test conditions are presented. From the results, it was justified that the sensitivity maps of the conducting boundary strategy can be applied successfully in identifying the location for the phantom of interest using LBP algorithm. Additionally, the number and spatial distribution of the bubble phantoms can be clearly distinguished at any location in the pipeline. It was also shown that the reconstructed images agree well with the bubble phantoms. |
| first_indexed | 2024-03-05T21:50:36Z |
| format | Article |
| id | uthm.eprints-5171 |
| institution | Universiti Tun Hussein Onn Malaysia |
| language | English |
| last_indexed | 2024-03-05T21:50:36Z |
| publishDate | 2017 |
| publisher | International Frequency Sensor Association (IFSA) Publishing |
| record_format | dspace |
| spelling | uthm.eprints-51712022-01-06T03:51:14Z http://eprints.uthm.edu.my/5171/ Image reconstruction of metal pipe in electrical resistance tomography Ridzuan Aw, Suzanna Abdul Rahim, Ruzairi Mohd Yunus, Yusri Rahiman, Mohd Hafiz Fazalul Wahab, Yasmin Mohd Yunus, Fazlul Rahman Mohamed, Elmy Johana Abdul Aziz, Azian Chiew, Loon Goh Pusppanathan, Jayasuman Green, R. G. Zhen, Cong Tee TK Electrical engineering. Electronics Nuclear engineering TA401-492 Materials of engineering and construction. Mechanics of materials This paper demonstrates a Linear Back Projection (LBP) algorithm based on the reconstruction of conductivity distributions to identify different sizes and locations of bubble phantoms in a metal pipe. Both forward and inverse problems are discussed. Reconstructed images of the phantoms under test conditions are presented. From the results, it was justified that the sensitivity maps of the conducting boundary strategy can be applied successfully in identifying the location for the phantom of interest using LBP algorithm. Additionally, the number and spatial distribution of the bubble phantoms can be clearly distinguished at any location in the pipeline. It was also shown that the reconstructed images agree well with the bubble phantoms. International Frequency Sensor Association (IFSA) Publishing 2017 Article PeerReviewed text en http://eprints.uthm.edu.my/5171/1/AJ%202017%20%28302%29%20Image%20reconstruction%20of%20metal%20pipe.pdf Ridzuan Aw, Suzanna and Abdul Rahim, Ruzairi and Mohd Yunus, Yusri and Rahiman, Mohd Hafiz Fazalul and Wahab, Yasmin and Mohd Yunus, Fazlul Rahman and Mohamed, Elmy Johana and Abdul Aziz, Azian and Chiew, Loon Goh and Pusppanathan, Jayasuman and Green, R. G. and Zhen, Cong Tee (2017) Image reconstruction of metal pipe in electrical resistance tomography. Sensors & Transducers, 209 (2). pp. 12-19. ISSN 2306-8515 http://www.sensorsportal.com/HTML/DIGEST/P_2898.htm |
| spellingShingle | TK Electrical engineering. Electronics Nuclear engineering TA401-492 Materials of engineering and construction. Mechanics of materials Ridzuan Aw, Suzanna Abdul Rahim, Ruzairi Mohd Yunus, Yusri Rahiman, Mohd Hafiz Fazalul Wahab, Yasmin Mohd Yunus, Fazlul Rahman Mohamed, Elmy Johana Abdul Aziz, Azian Chiew, Loon Goh Pusppanathan, Jayasuman Green, R. G. Zhen, Cong Tee Image reconstruction of metal pipe in electrical resistance tomography |
| title | Image reconstruction of metal pipe in electrical resistance tomography |
| title_full | Image reconstruction of metal pipe in electrical resistance tomography |
| title_fullStr | Image reconstruction of metal pipe in electrical resistance tomography |
| title_full_unstemmed | Image reconstruction of metal pipe in electrical resistance tomography |
| title_short | Image reconstruction of metal pipe in electrical resistance tomography |
| title_sort | image reconstruction of metal pipe in electrical resistance tomography |
| topic | TK Electrical engineering. Electronics Nuclear engineering TA401-492 Materials of engineering and construction. Mechanics of materials |
| url | http://eprints.uthm.edu.my/5171/1/AJ%202017%20%28302%29%20Image%20reconstruction%20of%20metal%20pipe.pdf |
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