Produktbild: Visualization in Industrial X-ray Computed Tomography
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Visualization in Industrial X-ray Computed Tomography DE

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Beschreibung

Produktdetails

Einband

Gebundene Ausgabe

Erscheinungsdatum

04.10.2026

Abbildungen

XIV, 224 illus., 172 illus. in color., farbige Illustrationen, schwarz-weiss Illustrationen

Herausgeber

Christoph Heinzl + weitere

Verlag

Springer

Seitenzahl

640

Maße (L/B)

23,5/15,5 cm

Sprache

Englisch

ISBN

978-3-032-32500-6

Beschreibung

Portrait

Christoph Heinzl received his Ph.D. degree in computer science from TU Wien, where he was also awarded the habilitation (venia docendi) in 2022. He is currently a professor for cognitive sensor systems at University of Passau and leading the research group for knowledge-based image processing and visualization at Fraunhofer IIS Development Center for X-ray Technology. His current research covers visualization and analysis of “rich” XCT data, a research domain, in which he published >100 papers, >36 of them peer-reviewed, four book chapters and a patent. He acquired various applied and basic research grants on national and European level. His research interests are focused but not limited to scientific visualization, visual analytics, visual parameter space analysis, visual analysis of spatio-temporal data, visual analysis of ensemble data, comparative visualization, multi modal data analysis and visualization, immersive analytics, cross-virtuality analytics, virtual and augmented reality in visualization, machine learning, uncertainty visualization.

Tomas Sauer earned a Ph.D. and habilitation in Mathematics at the University of Erlangen in 1993 and 1998, respectively. After being a professor (C3) for Applied Mathematics and Scientific Computing at the University of Giessen from 2000 to 2012, he holds the Chair for Mathematical Image Processing at the University of Passau since 2012 and is also the director of the research institute FORWISS there. In 2017 he founded the Fraunhofer research group for Knowledge-Based Image Processing in Passau which he directed until 2022, when he became chief scientist for the Fraunhofer IIS Development Center for X-ray Technology. His current research interests include sparse recovery and sparse representation especially of volumetric data sets as well as the mathematical aspects of computed tomography, but also the mathematical background of machine learning methods and its applications.

Norman Uhlmann received his Ph.D. degree in experimental physics from the University of Erlangen-Nürnberg in 2005 for his research in detector development for a Compton camera system. He continued his research as head of the research group “X-ray detectors and Monte Carlo simulation” at the Fraunhofer Development Center for X-ray Technology EZRT, at which he became head of the department “Application-specific Methods and Systems” in 2010. Since 2020, he is the division director of  Fraunhofer IIS Development Center for X-ray Technology. His current focus lies on the administration of the research at the EZRT, research of x-ray imaging, optical inspection and MR as well as being the main contact for industrial customers.

Produktdetails

Einband

Gebundene Ausgabe

Erscheinungsdatum

04.10.2026

Abbildungen

XIV, 224 illus., 172 illus. in color., farbige Illustrationen, schwarz-weiss Illustrationen

Herausgeber

Verlag

Springer

Seitenzahl

640

Maße (L/B)

23,5/15,5 cm

Sprache

Englisch

ISBN

978-3-032-32500-6

Herstelleradresse

Springer International Publishing AG
Gewerbestr. 11
6330 Cham
Schweiz
Url: www.springer.com

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  • Produktbild: Visualization in Industrial X-ray Computed Tomography
  • Visualization in Industrial X-ray Computed Tomography: An Introduction.- Definitions, concepts, and XCT theory State of the art in XCT.- A Data and Task Taxonomy for the Analysis and Visualization of "Rich XCT data”.- Introduction to Visualization for Rich XCT Data.- Compression, Decompression and Visualization.- Tomographic image reconstruction in X-ray CT.- Segmentation of Large Industrial XCT Data.- Visual Analysis of Higher-Order Tensor Fields.- Visual Analysis of High-Dimensional Data Derived from XCT Data.- Imaging and Tracking Dynamic Phenomena.- Topology-driven Approaches for Visualization in Materials Science.- Immersive Analytics of X-Ray Computed Tomography Data.- Visualization of Quantitative Data.- Uncertainty Visualization: Foundations, Interpretation, and Practical Guidance.- Quantitative 3D-4D materials imaging applied to structural engineering alloys.- Quantifying tomographic images of fiber-reinforced composites.