Title :
Study on Image Reconstruction Algorithm for Electrical Capacitance Tomography System
Author :
Yao, Chen ; Xiaowei, Wang ; Jiangyan
Author_Institution :
Inf. Eng. Coll., Shenyang Univ., Shenyang, China
Abstract :
The capacitance sensor features non-intrusive, rapid dynamic response, low cost, wide measuring range and easy mounting, so it is suitable for application in industries. The speediness and accuracy of image reconstruction algorithm in electrical capacitance tomography are essential. This paper presents a high-speed method for electrical capacitance tomography based on the Landweber iteration method. Landweber iteration method is simple and flexible with very good regularizing features. But it converges too slowly. The weakness is overcome by the high-speed iteration method, which can reduce iteration times and maintain the reconstruction quality.
Keywords :
capacitive sensors; feature extraction; image reconstruction; iterative methods; tomography; Landweber iteration method; capacitance sensor; electrical capacitance tomography system; feature extraction; image reconstruction algorithm; Capacitive sensors; Capacitors; Costs; Electrical capacitance tomography; Electrodes; Image reconstruction; Image sensors; Permittivity; Sensor arrays; Sensor systems; Convergence rate; ECT image; Landweber iteration method; Reconstruction;
Conference_Titel :
Hybrid Intelligent Systems, 2009. HIS '09. Ninth International Conference on
Conference_Location :
Shenyang
Print_ISBN :
978-0-7695-3745-0
DOI :
10.1109/HIS.2009.213