Large-Scale Fiber Tracking Through Sparsely Sampled Image Sequences of Composite Materials

@article{Zhou2016LargeScaleFT,
  title={Large-Scale Fiber Tracking Through Sparsely Sampled Image Sequences of Composite Materials},
  author={Youjie Zhou and Hongkai Yu and Jeff P. Simmons and Craig Przybyla and Song Wang},
  journal={IEEE Transactions on Image Processing},
  year={2016},
  volume={25},
  pages={4931-4942}
}
Fast and accurate characterization of fiber micro-structures plays a central role for material scientists to analyze physical properties of continuous fiber reinforced composite materials. In materials science, this is usually achieved by continuously cross-sectioning a 3D material sample for a sequence of 2D microscopic images, followed by a fiber detection/tracking algorithm through the obtained image sequence. To speed up this process and be able to handle larger size material samples, this… CONTINUE READING

References

Publications referenced by this paper.
SHOWING 1-10 OF 25 REFERENCES

The Way They Move: Tracking Multiple Targets with Similar Appearance

  • 2013 IEEE International Conference on Computer Vision
  • 2013
VIEW 11 EXCERPTS
HIGHLY INFLUENTIAL

A new point matching algorithm for non-rigid registration

  • Computer Vision and Image Understanding
  • 2003
VIEW 20 EXCERPTS
HIGHLY INFLUENTIAL

Continuous Energy Minimization for Multitarget Tracking

  • IEEE Transactions on Pattern Analysis and Machine Intelligence
  • 2014
VIEW 3 EXCERPTS

Statistical characterization of SIC/SIC ceramic matrix composites at the filament scale with Bayesian segmentation Hough transform feature extraction, and pair correlation statistics

C. Przybyla, T. Godar, +3 authors J. Pearce
  • Proc. Int. SAMPE Tech. Conf., 2013, pp. 859–878.
  • 2013
VIEW 1 EXCERPT

Multiple object tracking using flow linear programming

  • 2009 Twelfth IEEE International Workshop on Performance Evaluation of Tracking and Surveillance
  • 2009

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