Abstract
Local data features play important roles in the transfer function design for volume rendering. By examining relationships among three eigenvalues of inertia matrix, a semi-automatic data-driven transfer function design method is presented in this paper. Local features detected by local block based moments, such as flat, round, elongated shapes are used to guide the design of transfer functions. Furthermore, the proposed method can objectively fulfill the function of the previous boundary based method and extend the domain of transfer function to include more data features. Practice experiments are conducted to render real medical data sets by using the proposed transfer function method.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Lorensen W. E., Cline H. E.: Marching Cubes: A high-resolution 3D surface construction algorithm. Computer Graphics. 21 (1988) 44–50
Drebin R. A., Carpenter L., and Hanrahan P.: Volume rendering. Computer Graphics. 22 (1988) 65–74
Levoy M.: Display of surfaces from volume data. IEEE Computer Graphics & Applications. 8 (1988) 29–37
Kajiya J. T., and Von Herzen B. P.: Ray tracing volume densities. Computer Graphics. 18 (1984) 165–174
Westover L.: Footprint evaluation for volume rendering. Computer Graphics. 24 (1990) 367–376
Lacroute P., Levoy M.: Fast volume rendering using a Shear-Warp factorisation of the viewing transform. Computer Graphics. 8 (1994) 451–459
He T., Hong L., Kaufman A., and Pfister H.: Generation of transfer functions with stochastic search techniques. Proceedings Visualization’ 96. (1996) 227–234
König A. H., and Gröller E. M.: Mastering Transfer Function Specification by Using VolumePro Technology.Proceedings of the 17th Spring Conference on Computer Graphics(SCCG). 21 (2001) 279–286
Chandrajit L. Bajaj, Valerio Pascucci, and Daniel R. Schikore.:The Contour Spectrum. Proceedings Visualization 97. (1997) 167–173
Hladuvka,König A. H., and Gröller E. M.: Curvature-Based Transfer Functions for Direct Volume Rendering. Spring Conference on Computer Graphics 2000. 16 (2000) 58–65
Gordon Kindlmann.: Semi-Automatic Generation of Transfer Functions for Direct Volume Rendering. Masters thesis. Cornell University (1999)
Gordon Kindlmann and James W. Durkin.: Semi-AutomaticGeneration of Transfer Functions for Direct Volume Rendering. IEEE Symposium On Volume Visualization. (1998) 79–86
Shivaraj Tenginakai, **ho Lee, and Raghu Machiraju.: Salient Iso-Surface Detection with Model-Independent Statistical Signatures. Proceedings Visualization 2001. (2001) 231–238
Yoshinobu Sato, Carl-Fredrik Westin, Abhir Bhalerao, Shin Nakajima, Nobuyuki Shiraga, Shinichi Tamura, and Ron Kikinis.: Tissue Classification Based on 3D Local Intensity Structures for Volume Rendering. IEEE Transactions on Visualization and Computer Graphics. 66 (2000) 160–180
Marks J., Andalman B., Beardsley P.A., and Pfister H.: Design Galleries: A General Approach to Setting Parameters for Computer Graphics and Animation. ACM Computer Graphics (SIGGRAPH 97 Proceedings). (1997) 38–400
Shiaofen Fang, Tom Biddlecome, and Mihran Tuceryan.: Image-Based Transfer Function Design for Data Explorationin Volume Visualization. Proceedings IEEE Visualization’98. (1998) 319–326
Issei Fujishiro, Taeko Azuma, and Yuriko Takeshima.: Automating Transfer Function Design for Comprehensible Volume Rendering Based on 3D Field Topology Analysis. Proceedings IEEE Visualization’99. (1999) 467–470
Vladimir Pekar, Rafael Wiemker, and Daniel Hempel.: Fast Detection of Meaningful Isosurfaces for Volume Data Visual-ization. Proceedings IEEE Visualization 2001. (2001) 223–230
Gabriele Lohmann.: Volume Image Analysis. John Wiley & Sons and B.G.Tuehner (1998) 53–59
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2003 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Jiawan, Z., Jizhou, S., Zhigang, S., Zunce, W. (2003). Moment Based Transfer Function Design for Volume Rendering. In: Kumar, V., Gavrilova, M.L., Tan, C.J.K., L’Ecuyer, P. (eds) Computational Science and Its Applications — ICCSA 2003. ICCSA 2003. Lecture Notes in Computer Science, vol 2669. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-44842-X_28
Download citation
DOI: https://doi.org/10.1007/3-540-44842-X_28
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-40156-8
Online ISBN: 978-3-540-44842-6
eBook Packages: Springer Book Archive