[PDF][PDF] Enhancement of microCT images of steel cracks using mathematical filters
O Araújo, A Machado, D Oliveira, R Lopes - 10th conference on industrial …, 2020 - ndt.net
MicroCT has become a powerful and widely used tool for non-destructive testing and can be
used for mapping the complex 3D structures of cracks and their interactions. The materials of …
used for mapping the complex 3D structures of cracks and their interactions. The materials of …
Effects of void defects on fracture features and tensile strength of C/SiC composites: an image-based FEM study
Manufacturing defects in ceramic matrix composites (CMCs), such as voids, microcracks,
etc., significantly affect the damage events and strength of the materials. This study aims to …
etc., significantly affect the damage events and strength of the materials. This study aims to …
Scout-view assisted interior micro-CT
KS Sharma, C Holzner, DM Vasilescu… - Physics in Medicine …, 2013 - iopscience.iop.org
Micro computed tomography (micro-CT) is a widely-used imaging technique. A challenge of
micro-CT is to quantitatively reconstruct a sample larger than the field-of-view (FOV) of the …
micro-CT is to quantitatively reconstruct a sample larger than the field-of-view (FOV) of the …
Multi-scale deep compressive imaging
Recently, deep learning-based compressive imaging (DCI) has surpassed conventional
compressive imaging in reconstruction quality and running speed. While multi-scale …
compressive imaging in reconstruction quality and running speed. While multi-scale …
Identification of microstructures and damages in silicon carbide ceramic matrix composites by deep learning
X Gao, B Lei, Y Zhang, D Zhang, C Wei, L Cheng… - Materials …, 2023 - Elsevier
Continuous silicon carbide fibre reinforced silicon carbide ceramic matrix composite
(SiC/SiC) is a multiphase non-homogeneous anisotropic material used in new generation …
(SiC/SiC) is a multiphase non-homogeneous anisotropic material used in new generation …
Microstructural crack segmentation of three-dimensional concrete images based on deep convolutional neural networks
As a nondestructive imaging technology, X-ray CT has become an effective tool for studying
the microstructural damage of concrete. However, autonomous identification and …
the microstructural damage of concrete. However, autonomous identification and …
Accelerating multi-point statistics reconstruction method for porous media via deep learning
Reconstruction of three-dimensional (3D) porous media from a single two-dimensional (2D)
image or limited morphological information has been an outstanding problem. Specifically …
image or limited morphological information has been an outstanding problem. Specifically …
Low-dose computed tomography reconstruction regularized by structural group sparsity joined with gradient prior
W Yu, W Peng, H Yin, C Wang, K Yu - Signal Processing, 2021 - Elsevier
Low-dose computed tomography (LdCT) imaging can greatly reduce the radiation dose
imposed to patient, however it leads to the low signal-to-noise ratio (SNR) measured …
imposed to patient, however it leads to the low signal-to-noise ratio (SNR) measured …
Experimental study on the application of a compressed-sensing (CS) algorithm to dental cone-beam CT (CBCT) for accurate, low-dose image reconstruction
J Oh, H Cho, U Je, M Lee, H Kim, D Hong… - Journal of the Korean …, 2013 - Springer
In practical applications of three-dimensional (3D) tomographic imaging, there are often
challenges for image reconstruction from insufficient data. In computed tomography (CT); for …
challenges for image reconstruction from insufficient data. In computed tomography (CT); for …
Attention based deep neural network for micro-fracture extraction of sequential coal rock CT images
F Lu, C Fu, J Shi, G Zhang - Multimedia Tools and Applications, 2022 - Springer
The extraction and analysis of fractures from sequential coal rock Computed Tomography
images play an important guiding role in development of coalbed methane and permeability …
images play an important guiding role in development of coalbed methane and permeability …