一种新的电容层析成像系统Barzilai-Borwein图像重建算法

Q1 Social Sciences HumanMachine Communication Journal Pub Date : 2010-04-24 DOI:10.1109/MVHI.2010.184
Lei Liu, Yu Chen, Yuchen Song
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引用次数: 2

摘要

为解决电容层析成像(ECT)技术的“软场”效应和病理问题,提出了一种新的电容层析成像Barzilai-Borwein算法。在分析ECT系统测量原理的基础上,构造了目标函数二阶信息项中割线近似算法的校正公式。讨论了将该算法应用于电痉挛问题的可行性。结果表明,该方法易于满足收敛条件,图像重建误差小。实验结果和仿真数据表明,与LBP、最陡下降算法和Tikhonov算法相比,该算法可以提供高质量的图像和高速度,为研究电容层析成像系统的图像重建算法提供了一条可行有效的途径。
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A Novel Barzilai-Borwein Image Reconstruction Algorithm for Electrical Capacitance Tomography System
To solve the electrical capacitance tomography(ECT) technology "soft field" effect and pathological problem, a new Barzilai-Borwein 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 high speed compared with LBP, Steepest Descent algorithm and Tikhonov algorithm and this new algorithm presents presents a feasible and effective way to research on image reconstruction algorithm for Electrical Capacitance Tomography System.
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来源期刊
CiteScore
10.00
自引率
0.00%
发文量
10
审稿时长
8 weeks
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