基于稀疏正则化的内外置电极电容层析成像  

Sparse regularization based image reconstruction for electrical capacitance tomography with internal-external electrodes

作　　者：毛明旭[1,2] 叶佳敏[1] 王海刚[1] 邱桂芝 

机构地区：[1]中国科学院工程热物理研究所,北京100190 [2]中国科学院大学物理学院,北京100190

出　　处：《中南大学学报（自然科学版）》2016年第5期1774-1781,共8页Journal of Central South University:Science and Technology

基　　金：国家自然科学基金资助项目(61374018;61320106004)~~

摘　　要：利用一种基于软阈值的稀疏正则化图像重构算法,对IEE ECT内部的介质分布进行重构,并与Landweber迭代算法进行对比。仿真和实验结果表明:对于内外置电极的ECT,基于软阈值的稀疏正则化重构算法可以明显减少迭代步数,提高重构图像的质量。A sparse regularization algorithm based on a soft-thresholding function was employed in the image reconstruction for IEE ECT and compared with Landweber iterative algorithm quantitatively. Both numerical simulation and experimental study show that the sparse regularization algorithm can significantly reduce the number of iteration and improve the quality of the reconstructed images for IEE ECT.

关 键 词：电容层析成像 内外置电极 图像重构 稀疏正则化 软阈值 

分 类 号：TP216[自动化与计算机技术—检测技术与自动化装置]