TY - JOUR
T1 - Optimization of an iterative image reconstruction algorithm for electrical capacitance tomography
AU - Liu, S.
AU - Fu, L.
AU - Yang, W.Q.
PY - 1999
Y1 - 1999
N2 - Due to the 'soft-field' nature of electrical capacitance tomography, it is necessary to employ an iterative approach for image reconstruction in order to obtain good-quality images. In an iterative algorithm it is important to determine the gain factor, i.e., the step length approaching the converging point, because it may either cause divergence or slow down the iterative process. Usually the step length is fixed. In this communication, a method to determine the optimal step length is derived for an iterative algorithm. The efficiency of the method has been demonstrated experimentally.
AB - Due to the 'soft-field' nature of electrical capacitance tomography, it is necessary to employ an iterative approach for image reconstruction in order to obtain good-quality images. In an iterative algorithm it is important to determine the gain factor, i.e., the step length approaching the converging point, because it may either cause divergence or slow down the iterative process. Usually the step length is fixed. In this communication, a method to determine the optimal step length is derived for an iterative algorithm. The efficiency of the method has been demonstrated experimentally.
UR - http://www.scopus.com/inward/record.url?eid=2-s2.0-0002401865&partnerID=MN8TOARS
UR - https://www.scopus.com/pages/publications/0002401865
U2 - 10.1088/0957-0233/10/7/102
DO - 10.1088/0957-0233/10/7/102
M3 - Article
SN - 0957-0233
SP - L37-L39
JO - Measurement Science and Technology
JF - Measurement Science and Technology
ER -