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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| التنسيق: | مقال |
| اللغة: | English |
| منشور في: |
International Frequency Sensor Association (IFSA)
2017
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| الوصول للمادة أونلاين: | http://eprints.utm.my/id/eprint/80505/1/AzianAbdulAziz2017_ImageReconstructionofMetalPipeinElectrical.pdf http://eprints.utm.my/id/eprint/80505/ http://www.sensorsportal.com/HTML/DIGEST/february_2017/Vol_209/P_2898.pdf |
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my.utm.805052019-05-22T06:48:39Z http://eprints.utm.my/id/eprint/80505/ 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 Goh, Chiew Loon Pusppanathan, Jayasuman Green, R. G. Tee, Zhen Cong TK Electrical engineering. Electronics Nuclear engineering 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) 2017 Article PeerReviewed application/pdf en http://eprints.utm.my/id/eprint/80505/1/AzianAbdulAziz2017_ImageReconstructionofMetalPipeinElectrical.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 Goh, Chiew Loon and Pusppanathan, Jayasuman and Green, R. G. and Tee, Zhen Cong (2017) Image reconstruction of metal pipe in electrical resistance tomography. Sensors & Transducers Journal, 209 (2). pp. 12-19. ISSN 2306-8515 http://www.sensorsportal.com/HTML/DIGEST/february_2017/Vol_209/P_2898.pdf |
| institution |
Universiti Teknologi Malaysia |
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UTM Library |
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Institutional Repository |
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Asia |
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Malaysia |
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Universiti Teknologi Malaysia |
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| url_provider |
http://eprints.utm.my/ |
| language |
English |
| topic |
TK Electrical engineering. Electronics Nuclear engineering |
| spellingShingle |
TK Electrical engineering. Electronics Nuclear engineering 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 Goh, Chiew Loon Pusppanathan, Jayasuman Green, R. G. Tee, Zhen Cong Image reconstruction of metal pipe in electrical resistance tomography |
| 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. |
| format |
Article |
| 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 Goh, Chiew Loon Pusppanathan, Jayasuman Green, R. G. Tee, Zhen Cong |
| 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 Goh, Chiew Loon Pusppanathan, Jayasuman Green, R. G. Tee, Zhen Cong |
| author_sort |
Ridzuan Aw, Suzanna |
| title |
Image reconstruction of metal pipe in electrical resistance tomography |
| title_short |
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_sort |
image reconstruction of metal pipe in electrical resistance tomography |
| publisher |
International Frequency Sensor Association (IFSA) |
| publishDate |
2017 |
| url |
http://eprints.utm.my/id/eprint/80505/1/AzianAbdulAziz2017_ImageReconstructionofMetalPipeinElectrical.pdf http://eprints.utm.my/id/eprint/80505/ http://www.sensorsportal.com/HTML/DIGEST/february_2017/Vol_209/P_2898.pdf |
| _version_ |
1643658432913342464 |
| score |
13.251813 |