Image Reconstruction Algorithm for Electrical Charge Tomography System
Abstract: 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 co...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
1546-9239
2010
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| Subjects: | |
| Online Access: | http://eprints.utem.edu.my/id/eprint/12346/1/ajas791254-1263.pdf http://eprints.utem.edu.my/id/eprint/12346/ |
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| Summary: | Abstract: 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. |
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