A Computational Approach to Edge Detection
IEEE Transactions on Pattern Analysis and Machine Intelligence
Scale-Space and Edge Detection Using Anisotropic Diffusion
IEEE Transactions on Pattern Analysis and Machine Intelligence
Alignment by Maximization of Mutual Information
International Journal of Computer Vision
IEEE Transactions on Pattern Analysis and Machine Intelligence
Parallel Coordinates: Visual Multidimensional Geometry and Its Applications
Parallel Coordinates: Visual Multidimensional Geometry and Its Applications
A Bayes-Based Region-Growing Algorithm for Medical Image Segmentation
Computing in Science and Engineering
Surface Extraction from Multi-Material Components for Metrology using Dual Energy CT
IEEE Transactions on Visualization and Computer Graphics
LiveSync: Deformed Viewing Spheres for Knowledge-Based Navigation
IEEE Transactions on Visualization and Computer Graphics
SIMVIS: interactive visual analysis of large and time-dependent 3D simulation data
Proceedings of the 39th conference on Winter simulation: 40 years! The best is yet to come
Extensions of Parallel Coordinates for Interactive Exploration of Large Multi-Timepoint Data Sets
IEEE Transactions on Visualization and Computer Graphics
Interactive Volume Exploration for Feature Detection and Quantification in Industrial CT Data
IEEE Transactions on Visualization and Computer Graphics
Scalable Multi-variate Analytics of Seismic and Satellite-based Observational Data
IEEE Transactions on Visualization and Computer Graphics
Comparative Analysis of Multidimensional, Quantitative Data
IEEE Transactions on Visualization and Computer Graphics
Hi-index | 0.00 |
In this work a novel method for the characterization of porosity in carbon fiber reinforced polymers (CFRP) is presented. A visualization pipeline for the interactive exploration and visual analysis of CFRP specimens is developed to enhance the evaluation workflow for non-destructive testing (NDT) practitioners based on specified tasks. Besides quantitative porosity determination and the calculation of local pore properties, i.e., volume, surface, dimensions and shape factors, we employ a drill-down approach to explore pores in a CFRP specimen. We introduce Porosity Maps (PM), to allow for a fast porosity evaluation of the specimen. Pores are filtered in two stages. First a region of interest is selected in the porosity maps. Second, pores are filtered with parallel coordinates according to their local properties. Furthermore a histogram-based best-viewpoint widget was implemented to visualize the quality of viewpoints on a sphere. The advantages of our approach are demonstrated using real world CFRP specimens. We are able to show that our visualization-driven approach leads to a better evaluation of CFRP components than existing reference methods. © 2012 Wiley Periodicals, Inc.