Image processing of multiphase images obtained via X‐ray microtomography: A review
Easier access to X‐ray microtomography (μCT) facilities has provided much new insight
from high‐resolution imaging for various problems in porous media research. Pore space …
from high‐resolution imaging for various problems in porous media research. Pore space …
Multiscale X-ray tomography of cementitious materials: A review
X-ray computed tomography (CT) is a non-destructive technique that offers a 3D insight into
the microstructure of thick (opaque) samples with virtually no preliminary sample …
the microstructure of thick (opaque) samples with virtually no preliminary sample …
Privacy and security issues in deep learning: A survey
Deep Learning (DL) algorithms based on artificial neural networks have achieved
remarkable success and are being extensively applied in a variety of application domains …
remarkable success and are being extensively applied in a variety of application domains …
Masked face recognition with convolutional neural networks and local binary patterns
Face recognition is one of the most common biometric authentication methods as its
feasibility while convenient use. Recently, the COVID-19 pandemic is dramatically …
feasibility while convenient use. Recently, the COVID-19 pandemic is dramatically …
[HTML][HTML] Evaluation of compressive properties of SLM-fabricated multi-layer lattice structures by experimental test and μ-CT-based finite element analysis
The influence of inherent imperfections should be systematically investigated to ensure the
safety and utilization of additive manufacturing-fabricated multi-scale parts and structures …
safety and utilization of additive manufacturing-fabricated multi-scale parts and structures …
Specifics of the data processing of precession electron diffraction tomography data and their implementation in the program PETS2. 0
L Palatinus, P Brázda, M Jelínek, J Hrdá… - … Section B: Structural …, 2019 - journals.iucr.org
Electron diffraction tomography (EDT) data are in many ways similar to X-ray diffraction data.
However, they also present certain specifics. One of the most noteworthy is the specific …
However, they also present certain specifics. One of the most noteworthy is the specific …
Hyperspectral image classification with Markov random fields and a convolutional neural network
This paper presents a new supervised classification algorithm for remotely sensed
hyperspectral image (HSI) which integrates spectral and spatial information in a unified …
hyperspectral image (HSI) which integrates spectral and spatial information in a unified …
A reproducible evaluation of ANTs similarity metric performance in brain image registration
The United States National Institutes of Health (NIH) commit significant support to open-
source data and software resources in order to foment reproducibility in the biomedical …
source data and software resources in order to foment reproducibility in the biomedical …
Regularization by denoising: Clarifications and new interpretations
ET Reehorst, P Schniter - IEEE transactions on computational …, 2018 - ieeexplore.ieee.org
Regularization by denoising (RED), as recently proposed by Romano, Elad, and Milanfar, is
powerful image-recovery framework that aims to minimize an explicit regularization objective …
powerful image-recovery framework that aims to minimize an explicit regularization objective …
Bilateral filtering for gray and color images
C Tomasi, R Manduchi - … on computer vision (IEEE Cat. No …, 1998 - ieeexplore.ieee.org
Bilateral filtering smooths images while preserving edges, by means of a nonlinear
combination of nearby image values. The method is noniterative, local, and simple. It …
combination of nearby image values. The method is noniterative, local, and simple. It …