电子学报2012，Vol.40Issue(3)：500-504,5.DOI:10.3969/j.issn.0372-2112.2012.03.015
电容层析成像图像重构的三阶混合算法
A Three Order Hybrid Algorithm for Electrical Capacitance Tomography
摘要
Abstract
To solve the selection problem of Tikhonov regularization parameter in electrical capacitance tomography, A method is proposed to get an optimal regularization parameter using Morozov discrepancy principle, which make the (output) error due to regularization equals the error level in the data.To get an optimal regularization parameter rapidly and reasonably, a hybrid algorithm by combining three-order convergence algorithm and two parameter model is proposed. Numerical experimental results show that regularization parameter selection affects both the reconstruction speed and quality;the proposed hybrid algorithm has high image reconstruction speed and high accuracy for different flow patterns.关键词
电容层析成像/图像重构/双参数模型/三阶算法/Morozov偏差方程/混合算法Key words
electrical capacitance tomography/ image reconstruction/ two parameter model/ three order algorithm/ Morozov discrepancy equation/hybrid algorithm分类
信息技术与安全科学引用本文复制引用
李翠环,杨晓光,汪友华..电容层析成像图像重构的三阶混合算法[J].电子学报,2012,40(3):500-504,5.基金项目
河北省自然科学基金资助项目(No.E2007000048) （No.E2007000048）
