Transfer Function Design Toolbox for Full-Color Volume Datasets

Martin Falk, Ingrid Hotz, Patric Ljung, Darren Treanor, Anders Ynnerman, Claes Lundström
IEEE Pacific Visualization Symposium (PacificVis 2017), page 171--179 - 2017

In this paper, we tackle the challenge of effective Transfer Function (TF) design for Direct Volume Rendering (DVR) of full-color datasets. We propose a novel TF design toolbox based on color similarity which is used to adjust opacity as well as replacing colors. We show that both CIE L*u*v* chromaticity and the chroma component of YCbCr are equally suited as underlying color space for the TF widgets. In order to maximize the area utilized in the TF editor, we renormalize the color space based on the histogram of the dataset. Thereby, colors representing a higher share of the dataset are depicted more prominently, thus providing a higher sensitivity for fine-tuning TF widgets. The applicability of our TF design toolbox is demonstrated by volume ray casting challenging full-color volume data including the visible male cryosection dataset and examples from 3D histology.

Presented at IEEE PacificVis 2017 in April 2017.

Access publication here.
DOI: 10.1109/PACIFICVIS.2017.8031591

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BibTex references

  author       = {Falk, Martin and Hotz, Ingrid and Ljung, Patric and Treanor, Darren and Ynnerman, Anders and Lundstr{\"o}m, Claes},
  title        = {{Transfer Function Design Toolbox for Full-Color Volume Datasets}},
  booktitle    = {IEEE Pacific Visualization Symposium (PacificVis 2017)},
  pages        = {171--179},
  year         = {2017},
  note         = {doi: 10.1109/PACIFICVIS.2017.8031591}

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