TY - JOUR
T1 - Total variation regularization algorithm for electrical capacitance tomography
AU - Wang, Huaxiang
AU - Tang, Lei
AU - Yan, Yong
PY - 2007/11
Y1 - 2007/11
N2 - To solve the ill-posed problem in electrical capacitance tomography (ECT), a new image reconstruction algorithm based on total variation (TV) regularization is proposed. Compared with conventional L Tikhonov regularization, this algorithm (based on L regularization) not only stabilizes the reconstruction, but also enhances the resolution of the reconstruction image in areas with discontinuous medium distribution. It possesses good edge-preserving property. Both simulation and experimental results show that this algorithm has advantages in terms of resolution and real-time performance.
AB - To solve the ill-posed problem in electrical capacitance tomography (ECT), a new image reconstruction algorithm based on total variation (TV) regularization is proposed. Compared with conventional L Tikhonov regularization, this algorithm (based on L regularization) not only stabilizes the reconstruction, but also enhances the resolution of the reconstruction image in areas with discontinuous medium distribution. It possesses good edge-preserving property. Both simulation and experimental results show that this algorithm has advantages in terms of resolution and real-time performance.
KW - Edge-preserving property
KW - Electrical capacitance tomography
KW - Image reconstruction algorithm
KW - Tikhonov regularization
KW - Total variation
UR - https://www.scopus.com/pages/publications/37149011806
M3 - 文章
AN - SCOPUS:37149011806
SN - 0254-3087
VL - 28
SP - 2014
EP - 2018
JO - Yi Qi Yi Biao Xue Bao/Chinese Journal of Scientific Instrument
JF - Yi Qi Yi Biao Xue Bao/Chinese Journal of Scientific Instrument
IS - 11
ER -