计算机工程与应用2011，Vol.47Issue(21)：13-16,4.DOI:10.3778/j.issn.1002-8331.2011.21.004
MNR图像重建算法中正则化因子研究
Research on regularization factor of Modified-Newton-Raphson algorithm for image reconstruction
摘要
Abstract
Aiming to improve the precision of the image reconstruction algorithm when solving the inverse problem in electrical resistance tomography, research on the regularization factor of modified-Newton-Raphson algorithm is carried out.Moti-vated by the idea of decreasing inertia weight used in the improved particle swarm optimization, the upper bound of the regularization factor is updated automatically according to the imaging quality during the iteration process.Hence a novel improved Newton-Raphson reconstruction algorithm is proposed and applied to image reconstruction of two-phase typical flow regimes-stratified flow, bubble flow, annular flow, core flow and compound flow.Simulation results demonstrate that, compared with iterative linear back projection algorithm and modified Newton-Raphson algorithm, the new proposed algorithm can improve the imaging accuracy effectively under the same experimental condition.关键词
电阻层析成像/图像重建算法/修正牛顿-拉夫逊算法/正则化因子/粒子群算法/惯性权重Key words
electrical resistance tomography/image reconstruction algorithm/modified-Newton-Raphson algorithm/regularization factor/particle swarm optimization/inertia weight分类
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肖理庆,王化祥..MNR图像重建算法中正则化因子研究[J].计算机工程与应用,2011,47(21):13-16,4.基金项目
国家自然科学基金重点项目(the Key National Natural Science Foundation of China under Grant No.60532020) （the Key National Natural Science Foundation of China under Grant No.60532020）
国家自然科学基金(No.60820106002) （No.60820106002）
“青蓝工程”资助 （）
徐州工程学院校科研基金(No.XKY2010203). （No.XKY2010203）
