计量学报2024，Vol.45Issue(9)：1370-1377,8.DOI:10.3969/j.issn.1000-1158.2024.09.15
基于DK-SVD的深度学习电阻抗块稀疏成像方法研究
Study on the Electrical Impedance Block Sparse Imaging Method of Deep Learning Based on DK-SVD
摘要
Abstract
Aiming at the ill-posedness and nonlinearity of electrical impedance tomography inverse problem,a DK-SVD-based block sparse image reconstruction method is proposed.The multi-layer perceptron is introduced to finetune optimal model parameters for measurement data considering the complexity of datasets and improve the image quality.The iterative shrinkage threshold algorithm is used to accelerate convergence in the sparse coding stage.The simulation results show that the structural similarity of the reconstructed image by DK-SVD algorithm can reach more than 0.95,the error can be controlled at about 0.1,and the average reconstruction speed is 0.034 s,which effectively improves the quality and efficiency of electrical impedance tomography,and further experiments prove that the algorithm has good noise robustness and practical application value.关键词
电学计量/电阻抗层析成像/块稀疏/DK-SVD/图像重建/深度学习Key words
electrical metrology/electrical impedance tomography/block sparse/DK-SVD/image reconstruction/deep learning引用本文复制引用
王琦,杨雨晗,李秀艳,段晓杰,汪剑鸣,孙玉宽,冯慧..基于DK-SVD的深度学习电阻抗块稀疏成像方法研究[J].计量学报,2024,45(9):1370-1377,8.基金项目
国家自然科学基金(62072335,62071328) （62072335,62071328）
