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2017 IEEE Pacific Visualization Symposium (PacificVis) (2017)
Seoul, South Korea
April 18, 2017 to April 21, 2017
ISSN: 2165-8773
ISBN: 978-1-5090-5739-9
pp: 171-179
Martin Falk , Department of Science and Technology, Linköping University, Sweden
Ingrid Hotz , Department of Science and Technology, Linköping University, Sweden
Patric Ljung , Department of Science and Technology, Linköping University, Sweden
Darren Treanor , Center for Medical Image Science and Visualization (CMIV), Linköping University, Sweden
Anders Ynnerman , Department of Science and Technology, Linköping University, Sweden
Claes Lundstrom , Center for Medical Image Science and Visualization (CMIV), Linköping University, Sweden
ABSTRACT
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.
INDEX TERMS
Image color analysis, Histograms, Color, Rendering (computer graphics), Three-dimensional displays, Data visualization, Transfer functions
CITATION
Martin Falk, Ingrid Hotz, Patric Ljung, Darren Treanor, Anders Ynnerman, Claes Lundstrom, "Transfer Function design toolbox for full-color volume datasets", 2017 IEEE Pacific Visualization Symposium (PacificVis), vol. 00, no. , pp. 171-179, 2017, doi:10.1109/PACIFICVIS.2017.8031591
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