A User-friendly Tool for Semi-automated Segmentation and Surface Extraction from Color Volume Data Using Geometric Feature-space Operations

Mathematics and Visualization

Volumn , Issue , 2008, Pages 153-170

  Ivanovska, Tetyana ^a   Linsen, Lars ^a  

^a JACOBS UNIVERSITY BREMEN   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

AUTOMATION; CLUSTERING ALGORITHMS; COMPUTERIZED TOMOGRAPHY; EXTRACTION; FEATURE EXTRACTION; MEDICAL APPLICATIONS; MEDICAL IMAGING;

AUTOMATED CLUSTERING; FEATURE SPACE; GEOMETRIC FEATURE; ISOSURFACE EXTRACTION; SEMI-AUTOMATED SEGMENTATION; SIMPLE++; SPACE OPERATIONS; SURFACE EXTRACTION; USER-FRIENDLY TOOL; VOLUME DATA;

COLOR;

EID: 85138482455     PISSN: 16123786     EISSN: 2197666X     Source Type: Book Series    
DOI: 10.1007/978-3-540-72630-2_9     Document Type: Chapter

References (13)

1. C. Bradford Barber, David P. Dobkin, and Hannu Huhdanpaa. The quickhull algorithm for convex hulls. ACM Transactions on Mathematical Software, 1996.
2. J. C. Bezdek. Pattern Recognition with Fuzzy Objective Function Algorithms. Plenum Press-New York, 1981.
3. R. O. Duda, P. E. Hart, and D. G. Stork. Pattern classification. Wiley, 2000.
4. D. S. Ebert, C. J. Morris, P. Rheingans, and T. S. Yoo. Designing effective transfer functions for volume rendering from photographic volumes. IEEE Transactions on Visualization and Computer Graphics, 8(2):183–197, 2002.
5. P. Heckbert. Color image quantization for frame buffer display. In Computer Graphics (Proceedings of ACM SIGGRAPH 82), pages 297– 307, 1982.
6. Joe Kniss, Gordon Kindlmann, and Charles Hansen. Multidimensional transfer functions for interactive volume rendering. IEEE Transactions on Visualization and Computer Graphics, 8(3):270–285, 2002.
7. William E. Lorensen and Harvey E. Cline. Marching cubes: A high resolution 3d surface construction algorithm. In Computer Graphics (Proceedings of SIGGRAPH 87), volume 21, pages 163–169, July 1987.
8. J. B. MacQueen. Some methods for classification and analysis of multivariate observations. In Proceedings of 5-th Berkeley Symposium on Mathematical Statistics and Probability, volume 1, pages 281–297, 1967.
9. D. Pascale. A Review of RGB Color Spaces…from xyY to R’G’B’. Babel Color, 2003.
10. + 00] Andreas Pommert, Karl Heinz Hhne, Bernhard Pflesser, Martin Riemer, Thomas Schiemann, Rainer Schubert, Ulf Tiede, and Udo Schumacher. A highly realistic volume model derived from the visible human male. The Third Visible Human Project Conference Proceedings, 2000.
11. P. Scheunders. A comparison of clustering algorithms applied to color image quantization. Pattern Recognition Letters, 18, 1997.
12. T. Schiemann, U. Tiede, and K. H. Hhne. Segmentation of the visible human for high quality volume based visualization. Med. Image Analysis, 1997.
13. + 02] Ikuko Takanashi, Eric Lum, Kwan-Liu Ma, Joerg Meyer, Bernd Hamann, and Arthur J. Olson. Segmentation and 3d visualization of high-resolution human brain cryosections. In Robert F. Erbacher, Philip C. Chen, Matti Groehn, Jonathan C. Roberts, and Craig M. Wit-tenbrink, editors, Visualization and Data Analysis 2002, volume 4665, pages 55–61, Bellingham, Washington, 2002. SPIE-The International Society for Optical Engineering, SPIE.