Image Reconstruction Algorithm for Electrical Charge Tomography System
- 1 Department of Control and Instrumentation Engineering, Faculty of Electrical Engineering, University Technology Malaysia, 81310 Skudai, Johor Bahru, Johor, Malaysia
- 2 Department of Electrical Engineering, Politeknik Kota Bharu, Kok Lanas, 16450 Ketereh, Kota Bharu Kelantan, Malaysia
- 3 Faculty of Forestry, University Putra Malaysia, 43400 Serdang, Selangor, Malaysia
- 4 Department of General Studies, Politeknik Kota Bharu, Kok Lanas, 16450 Ketereh, Kota Bharu Kelantan, Malaysia
- 5 Department of Control, Instrumentation and Automation, Faculty of Electrical Engineering, University Technical Malaysia Melaka, 76109 Durian Tunggal, Melaka, Malaysia
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.
DOI: https://doi.org/10.3844/ajassp.2010.1254.1263
Copyright: © 2010 M. F. Rahmat, M. D. Isa, K. Jusoff, T. A. Hussin and S. Md. Rozali. This is an open access article distributed under the terms of the
Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
- 3,609 Views
- 2,738 Downloads
- 8 Citations
Download
Keywords
- Tomography system
- inverse problem
- image reconstruction
- least square with regularization