Interactive Volume Exploration for Feature Detection and Quantification in Industrial CT Data

@article{Hadwiger2008InteractiveVE,
  title={Interactive Volume Exploration for Feature Detection and Quantification in Industrial CT Data},
  author={Markus Hadwiger and Laura Fritz and Christof Rezk-Salama and Thomas H{\"o}llt and Georg Geier and Thomas Pabel},
  journal={IEEE Transactions on Visualization and Computer Graphics},
  year={2008},
  volume={14}
}
This paper presents a novel method for interactive exploration of industrial CT volumes such as cast metal parts, with the goal of interactively detecting, classifying, and quantifying features using a visualization-driven approach. The standard approach for defect detection builds on region growing, which requires manually tuning parameters such as target ranges for density and size, variance, as well as the specification of seed points. If the results are not satisfactory, region growing must… CONTINUE READING