A novel conjugate gradient image reconstruction algorithm for electrical capacitance tomography system

作者：Yu Chen^*; Jiye Han; Yuchen Song; Wei Liu

来源：2010 International Conference on Challenges in Environmental Science and Computer Engineering, CESCE 2010, 2010-03-06 to 2010-03-07.

DOI：10.1109/CESCE.2010.12

• Conjugate gradient
• Conjugate gradient algorithms
• Convergence conditions
• ECT-systems
• Electrical Capacitance Tomography
• Electrical capacitance tomography systems
• High quality images
• Image reconstruction algorithm
• Information items
• Iterative algorithm
• Objective functions
• Second orders
• Simulation data

To solve the electrical capacitance tomography(ECT) technology "soft field" effect and pathological problem, a new three conjugate gradient algorithm for electrical capacitance tomography is presented. On the basis of analyzing ECT system measurement principle, constructing corrector formula of secant approximation algorithm in second-order information items of objective functions. The feasibility of using this algorithm for ECT problems is also discussed.It shows that it is easy to meet the convergence condition and error of image reconstruction is small. Experimental results and simulation data indicate that the algorithm can provide high quality images and favorable stabilization compared with LBP and conjugate gradient algorithms and this new algorithm presents a feasible and effective way to research on image reconstruction algorithm for Electrical Capacitance Tomography System.

• 出版日期2010
• 单位东北林业大学