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A better understanding of the relation between ore fragmentation and ore texture is a key to the energy efficient extraction of targeted minerals from low grade ore deposits. In this study, X-ray micro-computed tomography is employed to…

In this paper, 3D image data of ore particle systems is investigated. By combining X-ray micro tomography (XMT) with scanning electron microscope (SEM) based image analysis additional information about the mineralogical composition from…

Image and Video Processing · Electrical Eng. & Systems 2018-06-11 Orkun Furat , Thomas Leißner , Ralf Ditscherlein , Ondřej Šedivý , Matthias Weber , Kai Bachmann , Jens Gutzmer , Urs Peuker , Volker Schmidt

The rapid development of X-ray micro-computed tomography (micro-CT) opens new opportunities for 3D analysis of particle and grain-size characterisation, determination of particle densities and shape factors, estimation of mineral…

Machine Learning · Computer Science 2022-08-29 Patrick Kin Man Tung , Amalia Yunita Halim , Huixin Wang , Anne Rich , Christopher Marjo , Klaus Regenauer-Lieb

Microstructure characterization is of great value to understanding nuclear graphite's properties and irradiation behavior. However, graphite is soft and could be easily damaged during sample preparation. A three-step polishing method…

Materials Science · Physics 2021-06-07 Qing Huang , Hui Tang

Porous materials are widely used in different applications, in particular they are used to create various filters. Their quality depends on parameters that characterize the internal structure such as porosity, permeability and so on.…

Computer Vision and Pattern Recognition · Computer Science 2019-10-18 V. Kokhan , M. Grigoriev , A. Buzmakov , V. Uvarov , A. Ingacheva , E. Shvets , M. Chukalina

Image segmentation methods have been utilized to determine the particle size distribution of crushed ores. Due to the complex working environment, high-powered computing equipment is difficult to deploy. At the same time, the ore…

Computer Vision and Pattern Recognition · Computer Science 2023-11-13 Guodong Sun , Delong Huang , Yuting Peng , Le Cheng , Bo Wu , Yang Zhang

Studying porous rock materials with X-Ray Computed Tomography (XRCT) has been established as a standard procedure for the non-destructive visualization of flow and transport in opaque porous media. Despite the recent advances in the field…

Machine Learning · Computer Science 2022-05-19 Dongwon Lee , Nikolaos Karadimitriou , Matthias Ruf , Holger Steeb

Characterization of the inner-shell decay processes in molecules containing heavy elements is key to understanding x-ray damage of molecules and materials and for medical applications with Auger-electron-emitting radionuclides. The 1s hole…

In molecular photofragmentation processes by soft X-rays, a number of ionic fragments can be produced, each having a different abundance and correlation with the emitted electron kinetic energy. For investigating these fragmentation…

Atomic Physics · Physics 2007-05-23 G. Pruemper , K. Ueda

This study presents a comprehensive workflow for investigating particulate materials through combined 360{\deg} electron tomography (ET), nano-computed X-ray tomography (nanoCT), and micro-computed X-ray tomography (microCT), alongside a…

Blasted rock material serves a critical role in various engineering applications, yet the phenomenon of segregation-where particle sizes vary significantly along the gradient of a quarry pile-presents challenges for optimizing quarry…

Image and Video Processing · Electrical Eng. & Systems 2024-06-07 Chengeng Liu , Sihong Liu , Chaomin Shen , Yupeng Gao , Yuxuan Liu

The current work describes a proof of concept of a 3D XRF scanner, which is able to perform elemental analysis over the cylindrical surface of geological rock-core and to reconstruct a 1D, 2D and a 3D elemental map of the scanned area. The…

Instrumentation and Detectors · Physics 2025-01-07 Alexandru Enciu

X-ray micro-computed tomography (X-ray micro-CT) is widely employed to investigate flow phenomena in porous media, providing a powerful alternative to core-scale experiments for estimating traditional petrophysical properties such as…

Computed tomography (CT) can capture volumes large enough to measure a statistically meaningful number of micron-sized particles with a sufficiently good resolution to allow for the analysis of individual particles. However, the development…

Minerals, metals, and plastics are indispensable for a functioning modern society. Yet, their supply is limited causing a need for optimizing ore extraction and recuperation from recyclable materials.Typically, those processes must be…

Computer Vision and Pattern Recognition · Computer Science 2023-12-15 Karol Gotkowski , Shuvam Gupta , Jose R. A. Godinho , Camila G. S. Tochtrop , Klaus H. Maier-Hein , Fabian Isensee

Automated image processing algorithms can improve the quality, efficiency, and consistency of classifying the morphology of heterogeneous carbonate rock and can deal with a massive amount of data and images seamlessly. Geoscientists face…

Geophysics · Physics 2022-01-06 Omar Alfarisi , Aikifa Raza , Hongtao Zhang , Djamel Ozzane , Mohamed Sassi , Tiejun Zhang

Microwave energy has been demonstrated to be beneficial for reducing the energetic cost of several steps of the mining process. Significant literature has been developed about this topic but few studies are focused on understanding the…

Materials Science · Physics 2015-10-30 Tamara Monti , Alexander Tselev , Ofonime Udoudo , Ilia N. Ivanov , Samuel W. Kingman

Application of the nuclear track emulsion technique (NTE) in radioactivity and nuclear fission studies is discussed. It is suggested to use a HSP-1000 automated microscope for searching for a collinear cluster tri-partition of heavy nuclei…

Image segmentation of touching objects plays a key role in providing accurate classification for computer vision technologies. A new line profile based imaging segmentation algorithm has been developed to provide a robust and accurate…

Computer Vision and Pattern Recognition · Computer Science 2017-08-07 Ali Mahdi , Jun Qin

Multi-energy CT has long demonstrated its ability to enhance image quality with material decomposition. Yet, it has largely been limited to applications that already have high contrast. More recently, x-ray phase-contrast (XPC) imaging has…

Medical Physics · Physics 2025-08-19 Giavanna Jadick , Patrick La Rivière
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