| 基于改进共轭梯度法的ERT图像重建 |
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| 引用本文： | 李秀艳,韩倩,汪剑鸣,王琦,段晓杰.基于改进共轭梯度法的ERT图像重建[J].仪器仪表学报,2016,37(7):1673-1679. |
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| 作者姓名： | 李秀艳 韩倩 汪剑鸣 王琦 段晓杰 |
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| 作者单位： | 天津工业大学电子与信息工程学院 天津市光电检测技术与系统重点实验室天津300387,天津工业大学电子与信息工程学院 天津市光电检测技术与系统重点实验室天津300387,天津工业大学电子与信息工程学院 天津市光电检测技术与系统重点实验室天津300387,天津工业大学电子与信息工程学院 天津市光电检测技术与系统重点实验室天津300387,天津工业大学电子与信息工程学院 天津市光电检测技术与系统重点实验室天津300387 |
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| 基金项目： | 国家自然科学基金(61402330, 61405143, 61373104)、高等学校博士学科点专项科研基金(20131201120002)、天津市高等学校科技发展基金计划(2012ZD03)项目资助 |
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| 摘 要： | 针对电阻层析成像(ERT)图像重建中灵敏度矩阵的病态特性导致共轭梯度法的收敛率低的问题,提出了改进的共轭梯度算法,ERT图像重建前先对数据进行归一化预处理,将解空间映射到Krylov子空间中,再通过共轭梯度法求解低维子空间中的反问题。分别利用共轭梯度法、预处理共轭梯度法和改进共轭梯度法对典型的气水两相流模型做了仿真实验。实验结果表明,改进共轭梯度法能够提高重建图像的质量,并且相对于其他算法,降低了计算时间。
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| 关 键 词： | 电阻层析成像 图像重建 共轭梯度法 Krylov子空间 |
ERT image reconstruction based on improved CG method |
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| Li Xiuyan,Han Qian,Wang Jianming,Wang Qi and Duan Xiaojie.ERT image reconstruction based on improved CG method[J].Chinese Journal of Scientific Instrument,2016,37(7):1673-1679. |
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| Authors: | Li Xiuyan Han Qian Wang Jianming Wang Qi and Duan Xiaojie |
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| Affiliation: | Tianjin Key Laboratory of Optoelectronic Detection Technology and System, School of Electronics and Information Engineering, Tianjin Polytechnic University, Tianjin 300387,China,Tianjin Key Laboratory of Optoelectronic Detection Technology and System, School of Electronics and Information Engineering, Tianjin Polytechnic University, Tianjin 300387,China,Tianjin Key Laboratory of Optoelectronic Detection Technology and System, School of Electronics and Information Engineering, Tianjin Polytechnic University, Tianjin 300387,China,Tianjin Key Laboratory of Optoelectronic Detection Technology and System, School of Electronics and Information Engineering, Tianjin Polytechnic University, Tianjin 300387,China and Tianjin Key Laboratory of Optoelectronic Detection Technology and System, School of Electronics and Information Engineering, Tianjin Polytechnic University, Tianjin 300387,China |
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| Abstract: | Aimingat the problem that the ill posed property of the sensitivity matrix in Electrical Resistance Tomography (ERT) image reconstructionleads to the low convergence rate of the Conjugate Gradient (CG)method,animproved CG algorithmis proposed in this paper. Before ERT image reconstruction, normalized pre processing is conducted on theexperiment data; the solution space is projected into the Krylov subspace. Then, the inverse problem in the low dimensional specific subspace is solved with CG method.Typical gaswater two phase flow simulation models were constructed, and the CG method, preprocessing CG method and improved CG algorithm were used to conduct image reconstruction experiments on the simulation models. The experiment results show that the improved CG algorithm can improve the reconstruction imagequality andreduce the computing time compared with other algorithms. |
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| Keywords: | electrical resistance tomography (ERT) image reconstruction conjugate gradient method Krylov subspace |
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