Moment Curves
Daniel Patel, Martin Haidacher, JeanPaul Balabanian
, M. Eduard Gröller
INPROCEEDINGS,
Proceedings of the IEEE Pacific Visualization Symposium 2009,
April, 2009
AbstractWe 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.
Published
Proceedings of the IEEE Pacific Visualization Symposium 2009
Media
BibTeX
@inproceedings{patel09momentCurves,
author = {Daniel Patel and Martin Haidacher and JeanPaul Balabanian
and M. Eduard Gr{\"o}ller},
title = {Moment Curves},
year = {2009},
booktitle = {Proceedings of the IEEE Pacific Visualization Symposium 2009},
pages = {201208},
location = {Beijing, China},
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
for easy and robust classification of materials and material borders.
The transfer function is applied to both CT and MR data.},
month = {April},
URL = {http://www.cg.tuwien.ac.at/research/publications/2009/patel_2009_MC/}
}
