Daniel Patel, Martin Haidacher, Jean-Paul Balabanian, Eduard GröllerORCID iD
Moment Curves
In Proceedings of the IEEE Pacific Visualization Symposium 2009, pages 201-208. April 2009.
[Moment Curves] [Paper]

Information

  • Publication Type: Conference Paper
  • Workgroup(s)/Project(s):
  • Date: April 2009
  • ISBN: 978-1-4244-4404-5
  • Location: Peking, China
  • Lecturer: Daniel Patel
  • Editor: Peter Eades, Thomas Ertl, Han-Wei Shen
  • Booktitle: Proceedings of the IEEE Pacific Visualization Symposium 2009
  • Conference date: 20. April 2009 – 23. April 2009
  • Pages: 201 – 208
  • Keywords: Statistical Moments, Volume Classification, Statistics

Abstract

We define a transfer function based on the first and second statistical moments. We consider the evolution of the mean and variance with respect to a growing neighborhood around a voxel. This evolution defines a curve in 3D for which we identify important trends and project it back to 2D. The resulting 2D projection can be brushed for easy and robust classification of materials and material borders. The transfer function is applied to both CT and MR data.

Additional Files and Images

Additional images and videos

Additional files

Weblinks

No further information available.

BibTeX

@inproceedings{patel_2009_MC,
  title =      "Moment Curves",
  author =     "Daniel Patel and Martin Haidacher and Jean-Paul Balabanian
               and Eduard Gr\"{o}ller",
  year =       "2009",
  abstract =   "We define a transfer function based on the first and second
               statistical moments. We consider the evolution of the mean
               and variance with respect to a growing neighborhood around a
               voxel. This evolution defines a curve in 3D for which we
               identify important trends and project it back to 2D. The
               resulting 2D projection can be brushed for easy and robust
               classification of materials and material borders. The
               transfer function is applied to both CT and MR data.",
  month =      apr,
  isbn =       "978-1-4244-4404-5",
  location =   "Peking, China",
  editor =     "Peter Eades, Thomas Ertl, Han-Wei Shen",
  booktitle =  "Proceedings of the IEEE Pacific Visualization Symposium 2009",
  pages =      "201--208",
  keywords =   "Statistical Moments, Volume Classification, Statistics",
  URL =        "https://www.cg.tuwien.ac.at/research/publications/2009/patel_2009_MC/",
}