Image Reconstruction Algorithm for Electrical Charge Tomography System | Science Publications

American Journal of Applied Sciences

K. Jusoff¹  M. D. Isa¹  M. F. Rahmat¹  T. A. Hussin¹  S. M. Rozali¹ 

关键词: Antioxidant;    Elaeis guineensis;    oil palm leaves;    phenolic compound;    Tomography system;    inverse problem;    image reconstruction;    least square with regularization;   

DOI  :  10.3844/ajassp.2010.1254.1263

学科分类：自然科学（综合）

来源: Science Publications

【 摘 要 】

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.

【 授权许可】

Unknown