Dokument-ID Dokumenttyp Verfasser/Autoren Herausgeber Haupttitel Abstract Auflage Verlagsort Verlag Erscheinungsjahr Seitenzahl Schriftenreihe Titel Schriftenreihe Bandzahl ISBN Quelle der Hochschulschrift Konferenzname Quelle:Titel Quelle:Jahrgang Quelle:Heftnummer Quelle:Erste Seite Quelle:Letzte Seite URN DOI Abteilungen OPUS4-3681 Wissenschaftlicher Artikel Torsney-Weir, Thomas; Saad, Ahmed; Möller, Torsten; Hege, Hans-Christian; Weber, Britta; Verbavatz, Jean-Marc Tuner: Principled Parameter Finding for Image Segmentation Algorithms Using Visual Response Surface Exploration 2011 9 IEEE Trans. Vis. Comput. Graph. 17 12 1892 1901 Visual Data Analysis OPUS4-7460 Wissenschaftlicher Artikel Fröhler, Bernhard; Elberfeld, Tim; Möller, Torsten; Hege, Hans-Christian; Weissenböck, Johannes; De Beenhouwer, Jan; Sijbers, Jan; Kastner, Johann; Heinzl, Christoph A Visual Tool for the Analysis of Algorithms for Tomographic Fiber Reconstruction in Materials Science We present visual analysis methods for the evaluation of tomographic fiber reconstruction algorithms by means of analysis, visual debugging and comparison of reconstructed fibers in materials science. The methods are integrated in a tool (FIAKER) that supports the entire workflow. It enables the analysis of various fiber reconstruction algorithms, of differently parameterized fiber reconstruction algorithms and of individual steps in iterative fiber reconstruction algorithms. Insight into the performance of fiber reconstruction algorithms is obtained by a list-based ranking interface. A 3D view offers interactive visualization techniques to gain deeper insight, e.g., into the aggregated quality of the examined fiber reconstruction algorithms and parameterizations. The tool was designed in close collaboration with researchers who work with fiber-reinforced polymers on a daily basis and develop algorithms for tomographic reconstruction and characterization of such materials. We evaluate the tool using synthetic datasets as well as tomograms of real materials. Five case studies certify the usefulness of the tool, showing that it significantly accelerates the analysis and provides valuable insights that make it possible to improve the fiber reconstruction algorithms. The main contribution of the paper is the well-considered combination of methods and their seamless integration into a visual tool that supports the entire workflow. Further findings result from the analysis of (dis-)similarity measures for fibers as well as from the discussion of design decisions. It is also shown that the generality of the analytical methods allows a wider range of applications, such as the application in pore space analysis. 2019 10 Computer Graphics Forum 38 3 273 283 10.1111/cgf.13688 Visual Data Analysis OPUS4-7393 Konferenzveröffentlichung Fröhler, Bernhard; da Cunha Melo, Lucas; Weissenböck, Johannes; Kastner, Johann; Möller, Torsten; Hege, Hans-Christian; Gröller, Eduard M.; Sanctorum, Jonathan; De Beenhouwer, Jan; Sijbers, Jan; Heinzl, Christoph Tools for the analysis of datasets from X-ray computed tomography based on Talbot-Lau grating interferometry This work introduces methods for analyzing the three imaging modalities delivered by Talbot-Lau grating interferometry X-ray computed tomography (TLGI-XCT). The first problem we address is providing a quick way to show a fusion of all three modal- ities. For this purpose the tri-modal transfer function widget is introduced. The widget controls a mixing function that uses the output of the transfer functions of all three modalities, allowing the user to create one customized fused image. A second problem prevalent in processing TLGI-XCT data is a lack of tools for analyzing the segmentation process of such multimodal data. We address this by providing methods for computing three types of uncertainty: From probabilistic segmentation algorithms, from the voxel neighborhoods as well as from a collection of results. We furthermore introduce a linked views interface to explore this data. The techniques are evaluated on a TLGI-XCT scan of a carbon-fiber reinforced dataset with impact damage. We show that the transfer function widget accelerates and facilitates the exploration of this dataset, while the uncertainty analysis methods give insights into how to tweak and improve segmentation algorithms for more suitable results. 2019 8 Proceedings of iCT 2019, (9th Conference on Industrial Computed Tomography, Padova, Italy – iCT 2019, February 13-15, 2019) paper 52 Visual Data Analysis OPUS4-8170 Wissenschaftlicher Artikel Fröhler, Bernhard; Elberfeld, Tim; Möller, Torsten; Hege, Hans-Christian; De Beenhouwer, Jan; Sijbers, Jan; Kastner, Johann; Heinzl, Christoph Analysis and comparison of algorithms for the tomographic reconstruction of curved fibres 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 methods for the analysis and comparison of results of different fibre reconstruction algorithms or parametrisations to the analysis of curved fibres. We propose fibre dissimilarity measures for such curved fibres and apply these to compare multiple results to a specified reference. We further propose visualisation methods to analyse differences between multiple results quantitatively and qualitatively. In two case studies, we show that the presented methods provide valuable insights for advancing and parametrising fibre reconstruction algorithms, and support in improving their results in characterising curved fibres. 2020 13 Nondestructive Testing and Evaluation 35 3 328 341 10.1080/10589759.2020.1774583 Visual Data Analysis