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.
出处
《中南大学学报（自然科学版）》
EI
CAS
CSCD
北大核心
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)~~
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
electrical capacitance tomography
internal-external electrodes
image reconstruction
sparse regularization
soft-thresholding
