Výsledky vyhledávání - "Christoph, Heinzl"

Akademický článek

Big Data Analytics for the Inspection of Battery Materials

Autor: Thomas Lang, Anja Heim, Christoph Heinzl

Publikováno v: e-Journal of Nondestructive Testing, Vol 29, Iss 3 (2024)

The analysis of battery materials regarding their microstructure provides key insights on their performance in the target application, e.g., in terms of electrical conductivity, durability, or resistance to destructive exothermic reactions upon damag

Externí odkaz: https://doaj.org/article/1c7cc91b26264744a259aa877c9ab3e9

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Akademický článek

Segmentation of pores in carbon fiber reinforced polymers using the U-Net convolutional neural network

Autor: Miroslav Yosifov, Patrick Weinberger, Bernhard Plank, Bernhard Fröhler, Markus Hoeglinger, Johann Kastner, Christoph Heinzl

Publikováno v: Acta Polytechnica CTU Proceedings, Vol 42 (2023)

This study demonstrates the utilization of deep learning techniques for binary semantic segmentation of pores in carbon fiber reinforced polymers (CFRP) using X-ray computed tomography (XCT) datasets. The proposed workflow is designed to generate eff

Externí odkaz: https://doaj.org/article/ea4bc9edebda41a39a544df7cd4a7d90

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cuPARE: parametric reconstruction of curved fibres from glass fibre-reinforced composites

Autor: Tim Elberfeld, Bernhard Fröhler, Christoph Heinzl, Jan Sijbers, Jan De Beenhouwer

Publikováno v: Nondestructive testing and evaluation

A new framework for the parametric reconstruction of curved fibres from glass fibre-reinforced composite X-ray computed tomography data is proposed. It allows us to detect fibres in a fibre-reinforced polymer sample from a low-dose, low resolution co

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::03aef158a3123604278c39351287017d
https://doi.org/10.1080/10589759.2022.2155647

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Defect detectability analysis via probability of defect detection between traditional and deep learning methods in numerical simulations

Autor: Miroslav, Yosifov, Weinberger Patrick, Michael, Reiter, Fröhler, Bernhard, De Beenhouwer Jan, Sijbers Jan, Johann, Kastner, Christoph, Heinzl

Publikováno v: Online e-journal of nondestructive testing

X-ray computed tomography (XCT) is one of the most powerful imaging techniques in non-destructive testing (NDT) for detecting, analysing and visualising defects such as pores, fibres, cracks etc. in industrial specimens. Detecting defects in X-ray im

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::67fbe00b31e0337e185c88aa4d7abd98

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Visual Coherence for Cross-Virtuality Analytics

Autor: Fabian Pointecker, Markus Dalpiaz, Philipp Kainberger, Alexander Gall, Bernhard Frohler, Christoph Heinzl, Christoph Anthes

Publikováno v: 2022 IEEE International Symposium on Mixed and Augmented Reality Adjunct (ISMAR-Adjunct).

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::51197244a4787f9d7ccfc7dc9f883ee6
https://doi.org/10.1109/ismar-adjunct57072.2022.00037

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Volume Conductor: Interactive Visibility Management for Crowded Volumes

Autor: Žiga Lesar, Ruwayda Alharbi, Ciril Bohak, Ondřej Strnad, Christoph Heinzl, Matija Marolt, Ivan Viola

We present a novel smart visibility system for visualizing crowded volumetric data containing many object instances. The presented approach allows users to form groups of objects through membership predicates and to individually control the visibilit

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e0434011f9c6a0c5c88370fdce085034
http://arxiv.org/abs/2206.07392

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Segmentation of multiple features in carbon fiber reinforced polymers using a convolutional neural network

Autor: Patrick Weinberger, Bernhard Plank, Bernhard Froehler, Johann Kastner, Christoph Heinzl

Publikováno v: Nondestructive Characterization and Monitoring of Advanced Materials, Aerospace, Civil Infrastructure, and Transportation XVI.

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::97929a90ebe8bedd6923a3a88e7a159b
https://doi.org/10.1117/12.2612895

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Analysis and comparison of algorithms for the tomographic reconstruction of curved fibres

Autor: Christoph Heinzl, Hans-Christian Hege, Johann Kastner, Tim Elberfeld, Bernhard Fröhler, Torsten Möller, Jan Sijbers, Jan De Beenhouwer

Publikováno v: Nondestructive Testing and Evaluation
article-version (VoR) Version of Record
BASE-Bielefeld Academic Search Engine
Nondestructive testing and evaluation

We present visual methods for the analysis and comparison of the results of curved fibre reconstruction algorithms, i.e., of algorithms extracting characteristics of curved fibres from X-ray computed tomography scans. In this work, we extend previous

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e34772b4a1584528764679979d5f7245
https://doi.org/10.1080/10589759.2020.1774583

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ImNDT: Immersive Workspace for the Analysis of Multidimensional Material Data From Non-Destructive Testing

Autor: Eduard Gröller, Christoph Heinzl, Alexander Gall

Publikováno v: Proceedings of the 27th ACM Symposium on Virtual Reality Software and Technology.

An analysis of large multidimensional volumetric data as generated by non-destructive testing (NDT) techniques, e.g., X-ray computed tomography (XCT), can hardly be evaluated using standard 2D visualization techniques on desktop monitors. The analysi

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::14d0241bddc82563c6fe14c87478cc29
https://doi.org/10.1145/3489849.3489851

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