In situ investigation on rapid microstructure evolution in extreme complex environment by developing a new AFBP-TVM sparse tomography algorithm from original CS …
F Xu, B Dong, X Hu, Y Xiao, Y Wang - Optics and Lasers in Engineering, 2017 - Elsevier
A new sparse tomography method for observing the rapid internal microstructure evolution
of material, called the Algebraic Filtered-Back-Projection and Total Variation Minimization …
of material, called the Algebraic Filtered-Back-Projection and Total Variation Minimization …
A Deep Learning-Driven Fast Scanning Method for Micro-Computed Tomography Experiments on CMCs
Background In-situ micro-computed tomography (µCT) technology is an attractive approach
to investigate the evolution process of damage inside ceramic matrix composites (CMCs) …
to investigate the evolution process of damage inside ceramic matrix composites (CMCs) …
SR-CT filter-back-projection algorithm and application in detection of microstructure evolution
Noise has been spotted in Synchrotron Radiation X-ray Computed Tomography (SR-CT)
experiment; however, traditional filter functions (such as SL filter function and RL filter …
experiment; however, traditional filter functions (such as SL filter function and RL filter …
Microstructure images restoration of metallic materials based upon KSVD and smoothing penalty sparse representation approach
Q Li, SY Liang - Materials, 2018 - mdpi.com
Microstructure images of metallic materials play a significant role in industrial applications.
To address image degradation problem of metallic materials, a novel image restoration …
To address image degradation problem of metallic materials, a novel image restoration …
Improving the efficiency of small-angle x-ray scattering computed tomography using the OSEM algorithm
T Hu, Y Wang, G Du, Y Wang, W Hua, B Deng, H Xie… - Applied Optics, 2017 - opg.optica.org
Small-angle x-ray scattering computed tomography (SAXS-CT) is a nondestructive method
for the nanostructure analysis of heterogeneous materials. However, the limits of a long data …
for the nanostructure analysis of heterogeneous materials. However, the limits of a long data …
Image fast reconstruction for sparse view computed tomography with reduced sampling integration time
C Long, C Tan, E Zhao, H Tan, L Duan - Displays, 2024 - Elsevier
Industrial computed tomography (CT) can detect the internal structure of objects
nondestructively. Its scanning and image reconstruction are time-consuming, which limits its …
nondestructively. Its scanning and image reconstruction are time-consuming, which limits its …
[HTML][HTML] Comparative studies of total-variation-regularized sparse reconstruction algorithms in projection tomography
H Xie, H Wang, L Wang, N Wang, J Liang, Y Zhan… - AIP Advances, 2019 - pubs.aip.org
Projection tomography techniques, such as optical projection tomography and stimulated
Raman projection tomography, can efficiently provide quantitative distributions of …
Raman projection tomography, can efficiently provide quantitative distributions of …
Linear programming-based reconstruction algorithm for limited angular sparse-view tomography
X Zhang, H Liu - Optics and Lasers in Engineering, 2021 - Elsevier
The reconstruction of high-quality images from limited angular sparse-view tomography data
is desired in many fields, including low-dose computed tomography and nondestructive …
is desired in many fields, including low-dose computed tomography and nondestructive …
Sparse-view computed tomography image reconstruction via a combination of L 1 and SL 0 regularization
H Qi, Z Chen, J Guo, L Zhou - Bio-medical materials and …, 2015 - content.iospress.com
Low-dose computed tomography reconstruction is an important issue in the medical imaging
domain. Sparse-view has been widely studied as a potential strategy. Compressed sensing …
domain. Sparse-view has been widely studied as a potential strategy. Compressed sensing …
Simulation study of spherical multilayer object CT reconstruction from sparse projection data
XIA Jing-tao, W Qun-shu, LI Bin-kang… - CT Theory and …, 2014 - cttacn.org.cn
This paper mainly aims at the simulation study of high-density-difference multilayer spherical
object reconstruction from angle-sparse projection data based on FBP algorithm …
object reconstruction from angle-sparse projection data based on FBP algorithm …