Johannes Weissenböck

ORCID: 0000-0001-8062-4590
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Research Areas
  • Medical Imaging Techniques and Applications
  • Computer Graphics and Visualization Techniques
  • Advanced X-ray and CT Imaging
  • Advanced X-ray Imaging Techniques
  • Medical Image Segmentation Techniques
  • Data Visualization and Analytics
  • Cell Image Analysis Techniques
  • Ethics and Social Impacts of AI
  • 3D Shape Modeling and Analysis
  • Geological Modeling and Analysis
  • Adversarial Robustness in Machine Learning
  • Drilling and Well Engineering
  • Optical measurement and interference techniques
  • Advanced Neuroimaging Techniques and Applications
  • Explainable Artificial Intelligence (XAI)
  • Asphalt Pavement Performance Evaluation
  • Anatomy and Medical Technology
  • Artificial Intelligence in Healthcare and Education
  • Digital Image Processing Techniques
  • Grouting, Rheology, and Soil Mechanics
  • Human Pose and Action Recognition
  • Advancements in Photolithography Techniques
  • Anomaly Detection Techniques and Applications
  • Geotechnical Engineering and Underground Structures

University of Applied Sciences Upper Austria
2014-2019

TU Wien
2019

Advanced composites such as fiber reinforced polymers are promising candidate materials for future components they allow integrating the continuously rising demands of industry regarding cost-effectiveness, function-orientation, integration and weight. The most important structures individual fibers, their characteristics (stiffness, strength, ductility, durability, etc.) to a large extent determine properties final component. main contribution this paper is introduction new system...

10.1109/pacificvis.2014.52 article EN IEEE Pacific Visualization Symposium 2014-03-01

open_iA is a platform for visual analysis and processing of volumetric datasets.The main driver behind its development to provide common framework performing analytics on industrial Computed Tomography (CT) data.In contrast general volume visualization or software, it offers specialized tools, which address domain-specific scenarios such as porosity determination, fiber characterization image parameter space analysis.The wide range building blocks, these tools consist of, facilitate the new...

10.21105/joss.01185 article EN cc-by The Journal of Open Source Software 2019-03-21

Artificial Intelligence is one of the fastest growing technologies 21st century and accompanies us in our daily lives when interacting with technical applications. However, reliance on such systems crucial for their widespread applicability acceptance. The societal tools to express are usually formalized by lawful regulations, i.e., standards, norms, accreditations, certificates. Therefore, T\"UV AUSTRIA Group cooperation Institute Machine Learning at Johannes Kepler University Linz,...

10.48550/arxiv.2103.16910 preprint EN other-oa arXiv (Cornell University) 2021-01-01

The comparison of many members an ensemble is difficult, tedious, and error-prone, which aggravated by often just subtle differences. In this paper, we introduce Dynamic Volume Lines for the interactive visual analysis sets 3D volumes. Each volume linearized along a Hilbert space-filling curve into 1D line plot, depicts intensities over indices. We present nonlinear scaling these plots based on intensity variations in volumes, enables more effective use available screen space. builds basis...

10.1109/tvcg.2018.2864510 article EN IEEE Transactions on Visualization and Computer Graphics 2018-08-20

In this paper we present PorosityAnalyzer, a novel tool for detailed evaluation and visual analysis of pore segmentation pipelines to determine the porosity in fiber-reinforced polymers (FRPs). The presented consists two modules: computation module module. enables convenient setup execution distributed off-line-computations on industrial 3D X-ray computed tomography datasets. It allows user assemble individual form single pipeline steps, specify parameter ranges as well sampling...

10.1109/vast.2016.7883516 article EN 2016-10-01

In recent years, advanced composite materials such as carbon fiber reinforced polymers (CFRP) are used in many fields of application (e.g., automotive, aeronautic and leisure industry). These characterized by their high stiffness strength, while having low weight. Especially, woven have outstanding mechanical properties due to fabric structure. To analyze develop the fabrics, it is important understand course individual bundles. Industrial 3D X-ray computed tomography (XCT) a nondestructive...

10.1016/j.csndt.2016.05.006 article EN cc-by-nc-nd Case Studies in Nondestructive Testing and Evaluation 2016-05-20

This work introduces a tool for interactive exploration and visualization using MetaTracts. MetaTracts is novel method extraction of individual fiber bundles weaving patterns from X-ray computed tomography (XCT) scans endless carbon reinforced polymers (CFRPs). It designed specifically to handle XCT low resolutions where the fibers are barely visible, which makes challenging problem. The proposed workflow used analyze unit cells CFRP materials integrating recurring pattern. First, coarse...

10.1109/tvcg.2016.2582158 article EN IEEE Transactions on Visualization and Computer Graphics 2016-06-16

Abstract We present visual analysis methods for the evaluation of tomographic fiber reconstruction algorithms by means analysis, debugging and comparison reconstructed fibers in materials science. The are integrated a tool (FIAKER) that supports entire workflow. It enables various algorithms, differently parameterized individual steps iterative algorithms. Insight into performance is obtained list‐based ranking interface. A 3D view offers interactive visualization techniques to gain deeper...

10.1111/cgf.13688 article EN cc-by Computer Graphics Forum 2019-06-01

Advanced composite materials such as carbon fiber r einforced polymers (CFRPs) play an increasingly important role in aeronautics with regard to efficiency and e conomy but also function integration flexibility. In order non-destructively characte rize CFRP components, 3D X-ray computed tomography (XCT) is used a referenc escalation method. this work we are targeting XCT data evaluation f or one of the main challenges regarding quality con trol CRFPs, which robust extraction analysis p ores...

10.5281/zenodo.31602 article EN 2014-11-12

Fiber-reinforced polymers (FRPs) are of great importance in various industries because their superior properties as compared to conventional materials, versatile processing, and wide application possibilities. To fulfil the high-quality standards its respective applications, industrial 3D X-ray computed tomography (XCT) is increasingly used. It enables an accurate, non-destructive characterization material features such inclusions, voids, fibers, or other reinforcements, which core for...

10.1088/1757-899x/406/1/012014 article EN IOP Conference Series Materials Science and Engineering 2018-09-21

X-ray computed tomography (XCT) allows performing non-destructive measurements of fibers in fiber-reinforced polymeric materials. The accurate evaluation fiber orientation and length distribution is particularly useful as these factors have a strong influence on physical mechanical properties such XCT data already successfully used for analysis, whereas the measurement more complex it requires individual to be identified segmented. Software tools able cope with tasks are available, but...

10.58286/23755 article EN cc-by e-Journal of Nondestructive Testing 2019-03-01

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 fusion of all modalities. For this purpose tri-modal transfer function widget introduced. controls mixing that uses output functions modalities, allowing user create one customized fused image. A second prevalent in processing TLGI-XCT data lack tools segmentation process such...

10.58286/23685 article EN cc-by e-Journal of Nondestructive Testing 2019-03-01

Kurzfassung. Faserverstarkte Kunststoffe haben wegen ihrer spezifischen Eigenschaften und vielseitigen Verarbeitungsund Anwendungsmoglichkeiten eine sehr grose praktische Bedeutung erlangt. Fur die Qualitatskontrolle dieser Materialien sind hochgenaue robuste 3D-Verfahren der zerstorungsfreien Werkstoffprufung wesentlich. Insbesondere ist es wichtig zu erfassen, wie Fasern in realen Bauteilen verteilt lange jede einzelne Faser im Bauteil tatsachlich ist. In Arbeit wurden drei verschiedene...

10.5281/zenodo.31605 article DE 2014-05-26

Because of their microstructure, carbon fibre reinforced polymers outperform conventional materials in many aspects. These are, given the low x-ray absorption contrast they provide, ideally suited for phase computed tomography. For system prototyping and benchmarking testing acquisition reconstruction procedures, computer simulations are a valuable tool. In this paper, we propose application an alternative simulation strategy that unites Monte Carlo with numerical wave optics involves...

10.58286/23679 article EN cc-by e-Journal of Nondestructive Testing 2019-03-01

The comparison of many 3D volumes to find subtle differences is tedious, time-consuming and error-prone. Previously we presented Dynamic Volume Lines [1], a novel tool for the interactive visual analysis ensembles volumes, which are linearized using Hilbert spacing-filling curve represented as 1D line plots. In this paper further demonstrate usefulness capabilities our method by conducting detailed evaluation an artificial specimen from simulated X-Ray Computed Tomography (XCT) real-world...

10.58286/23675 article EN cc-by e-Journal of Nondestructive Testing 2019-03-01
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