Transfer Function design toolbox for full-color volume datasets

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* chromat...

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Bibliographic Details
Published in:	IEEE Pacific Visualization Symposium pp. 171 - 179
Main Authors:	Falk, Martin, Hotz, Ingrid, Ljung, Patric, Treanor, Darren, Ynnerman, Anders, Lundstrom, Claes
Format:	Conference Proceeding
Language:	English
Published:	IEEE 01.04.2017
Subjects:	Color Computer Graphics [I.3.3]: Picture/Image Generation-Display algorithms Computer Graphics [I.3.6]: Methodology and Techniques Computer Graphics [I.3.7]: Three-Dimensional Graphics and Realism Computer Graphics [I.3.8]: Applications Data visualization Histograms Image color analysis Rendering (computer graphics) Three-dimensional displays Transfer functions
ISSN:	2165-8773
Online Access:	Get full text
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Summary:	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 Luv* chromaticity and the chroma component of YC B C R 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.
ISSN:	2165-8773
DOI:	10.1109/PACIFICVIS.2017.8031591