Collection
Industrial Computed Tomography
- Submission status
- Closed
Industrial X-ray computed tomography (XCT) is a relevant area in materials science and quality control due to several inherent advantages. Most importantly, XCT is able to provide highly detailed representations of a component's internal structure. The main advantage of XCT is that the part is represented in three dimensions, which makes it easier to detect hidden, internal features (e.g. fiber reinforcements) and defects. With XCT it is possible to determine physical quantities such as porosity and density using high-resolution 3D image data. Even after decades of progress in the further development of industrial XCT systems, new products, methods and applications are constantly being developed. This collection provides an excellent overview of the latest developments and established methods
Editors
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Johann Kastner
University of Applied Sciences Upper Austria
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Sascha Senck
University of Applied Sciences Upper Austria
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Bernhard Plank
University of Applied Sciences Upper Austria
Articles (6 in this collection)
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X-ray 3D Fiber Orientation Tomography via Alternating Optimization of Scattering Coefficients and Directions
Authors (first, second and last of 5)
- Tomoki Mori
- Yutaka Ohtake
- Yasunori Tsuboi
- Content type: OriginalPaper
- Open Access
- Published: 18 May 2024
- Article: 68
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Selecting Feasible Trajectories for Robot-Based X-ray Tomography by Varying Focus-Detector-Distance in Space Restricted Environments
Authors (first, second and last of 4)
- Maximilian Linde
- Wolfram Wiest
- Markus G. R. Sause
- Content type: OriginalPaper
- Open Access
- Published: 17 May 2024
- Article: 65
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Practical Multi-Mesh Registration for Few-View Poly-Chromatic X-Ray Inspection
Authors (first, second and last of 4)
- Domenico Iuso
- Pavel Paramonov
- Jan Sijbers
- Content type: OriginalPaper
- Open Access
- Published: 11 May 2024
- Article: 63
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Application of Dual-target Computed Tomography for Material Decomposition of Low-Z Materials
Authors (first, second and last of 5)
- Pavel Mikuláček
- Marek Zemek
- Jozef Kaiser
- Content type: OriginalPaper
- Open Access
- Published: 05 May 2024
- Article: 56
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Approach for Automatic Defect Detection in Aluminum Casting X-Ray Images Using Deep Learning and Gain-Adaptive Multi-Scale Retinex
Authors (first, second and last of 6)
- Chao Hai
- Yapeng Wu
- Min Yang
- Content type: OriginalPaper
- Published: 23 February 2024
- Article: 29