Title :
Image reconstruction algorithm of electrical resistance tomography for the measurement of two-phase flow
Author :
Yu, Jinhua ; Huang, Zhiyao ; Ji, Haifeng ; Wang, Baoliang ; Li, Haiqing
Author_Institution :
Dept. of Control Sci. & Eng., Zhejiang Univ., Hangzhou, China
Abstract :
Image reconstruction of electrical resistance tomography (ERT) is an ill-posed inverse problem. In this work, a new image reconstruction algorithm of ERT for the measurement of two-phase flow is proposed. Tikhonov regularization principle is introduced to overcome the instability problem of initial image reconstruction. And, ART algorithm is used to improve the image quality of the original reconstructed image. Thus, the new image reconstruction algorithm is a hybrid of Tikhonov regularization principle and algebraic reconstruction technique (ART) algorithm. Experimental results show that the hybrid image reconstruction algorithm can efficiently overcome the ill-posed problem of image reconstruction of ERT and is superior to the sensitivity coefficient algorithm.
Keywords :
electric impedance imaging; flow measurement; image reconstruction; two-phase flow; ART algorithm; Tikhonov regularization principle; algebraic reconstruction technique; electrical resistance tomography; ill-posed inverse problem; image quality; image reconstruction algorithm; instability problem; two-phase flow measurement; Conductivity; Electric resistance; Electric variables measurement; Electrical resistance measurement; Electrodes; Equations; Fluid flow measurement; Image reconstruction; Subspace constraints; Tomography;
Conference_Titel :
Sensors, 2003. Proceedings of IEEE
Print_ISBN :
0-7803-8133-5
DOI :
10.1109/ICSENS.2003.1278896