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Issue No.06 - November/December (2009 vol.15)
pp: 1343-1350
Laura Fritz , VRVis Research Center, Vienna, Austriastill involve a considerable amount of manual work due to insufficient
Markus Hadwiger , VRVis Research Center, Vienna, Austriastill involve a considerable amount of manual work due to insufficient
Georg Geier , {|}Austrian Foundry Research Institute, Leoben, Austriatomized for specific applications with a high relevance for NDT prac-
Gerhard Pittino , Institute for Subsurface Engineering, University of Leoben, Austriaexpert users from this domain, both from a more practical engineer-
M. Eduard Gröller , Vienna University of Technology, Vienna, Austriaof view. The first application scenario that we describe (Section 3) is
This paper describes advanced volume visualization and quantification for applications in non-destructive testing (NDT), which results in novel and highly effective interactive workflows for NDT practitioners. We employ a visual approach to explore and quantify the features of interest, based on transfer functions in the parameter spaces of specific application scenarios. Examples are the orientations of fibres or the roundness of par ticles. The applicability and effectiveness of our approach is illustrated using two specific scenarios of high practical relevance. First, we discuss the analysis of Steel Fibre Reinforced Sprayed Concrete (SFRSpC). We investigate the orientations of the enclosed steel fibres and their distribution, depending on the concrete’s application direction. This is a crucial step in assessing the material’s behavior under mechanical stress, which is still in its infancy and therefore a hot topic in the building industr y. The second application scenario is the designation of the microstructure of ductile cast irons with respect to the contained graphite. This corresponds to the requirements of the ISO standard 945-1, which deals with 2D metallographic samples. We illustrate how the necessar y analysis steps can be carried out much more efficiently using our system for 3D volumes. Overall, we show that a visual approach with custom transfer functions in specific application domains offers significant benefits and has the potential of greatly improving and optimizing the workflows of domain scientists and engineers.
Non-Destructive Testing, Multi-Dimensional Transfer Functions, Direction Visualization, Volume Rendering
Laura Fritz, Markus Hadwiger, Georg Geier, Gerhard Pittino, M. Eduard Gröller, "A Visual Approach to Efficient Analysis and Quantification of Ductile Iron and Reinforced Sprayed Concrete", IEEE Transactions on Visualization & Computer Graphics, vol.15, no. 6, pp. 1343-1350, November/December 2009, doi:10.1109/TVCG.2009.115
[1] R. Adams and L. Bischof, Seeded region growing. IEEE Trans. Pattern Anal. Mach. Intell., 16 (6): 641–647, 1994.
[2] J. Beyer, M. Hadwiger, T. Möller, and L. Fritz, Smooth mixed-resolution gpu-based raycasting. In IEEE/EG Symposium on Volume and Point-Based Graphics 2008, pages 163–170, 2008.
[3] C. Blasch, Orientierung von Stahlfasern im Stahlfaserspritzbeton. Bachelor thesis, University of Leoben, 2007.
[4] M. F. Cohen, J. Painter, M. Mehta, and K.-L. Ma, Volume seedlings. In Proc. ACM Symp. on Interactive 3D Graphics, pages 139–145, 1992.
[5] C. Correa and K.-L. Ma, Size-based transfer functions: A new volume exploration technique. IEEE Transactions on Visualization and Computer Graphics, 14 (6): 1380–1387, 2008.
[6] S. Gottschalk, M. C. Lin, and D. Manocha, Obbtree: A hierarchical structure for rapid interference detection. Computer Graphics, 30(Annual Conference Series): 171–180, 1996.
[7] A. Gyulassy, M. Duchaineau, V. Natarajan, V. Pascucci, E. Bringa, A. Higginbotham, and B. Hamann, Topologically clean distance fields. IEEE Transactions on Visualization and Computer Graphics, 13 (6): 1432–1439, 2007.
[8] M. Hadwiger, L. Fritz, C. Rezk-Salama, T. Höllt, G. Geier, and T. Pabel, Interactive volume exploration for feature detection and quantification in industrial CT data. IEEE Transactions on Visualization and Computer Graphics, 14 (6): 1507–1514, 2008.
[9] R. Huang and K.-L. Ma, RGVis: Region growing based techniques for volume visualization. Computer Graphics and Applications, Pacific Conference on, 0: 355–363, 2003.
[10] R. Huang, K.-L. Ma, P. McCormick, and W. Ward, Visualizing industrial CT volume data for nondestructive testing applications. In Proceedings IEEE Visualization 2003, pages 547–554, 2003.
[11] H. Kerber, G. Schindelbacher, G. Ruess, A. Kneissl, and K. Kutschej, Microstructure characterization of spheroidal graphite cast iron by using various image analytical systems. Practical Metallography 40 (7), pages 335–342, 2003.
[12] J. Kniss, G. Kindlmann, and C. Hansen, Interactive volume rendering using multi-dimensional transfer functions and direct manipulation widgets. In Proceedings IEEE Visualization 2001, pages 255–262, 2001.
[13] J. Krüger and R. Westermann, Acceleration techniques for GPU-based volume rendering. In Proceedings IEEE Visualization 2003, pages 287– 292, 2003.
[14] MAVI. MAVI - Modular Algorithms for Volume Images, 2009.\_en.php.
[15] H. Schorn, Classification of steel fibre reinforced shotcretes according to recent european standards. In Bernard, E.S. (Hg.): Shotcrete: Engineering Developments, pages 225–229. Swets & Zeitlinger, 2001.
[16] A. Scozzafava, L. Tomesani, and A. Zucchelli, Image analysis automation of spheroidal cast iron. Journal of Materials Processing Technology, 153–154:853–859, 2004.
[17] H. Singh, A. Gokhale, Y. Mao, and A. Tewari, Reconstruction, visualization, and quantitative characterization of multi-phase three-dimensional microstructures of cast aluminum alloys. In TMS Shape Casting Symposium, pages 15–19, 2009.
[18] S. Stegmaier, M. Strengert, T. Klein, and T. Ertl, A simple and flexible volume rendering framework for graphics-hardware-based raycasting. In Volume Graphics, pages 187–195, 2005.
[19] I. W. Steller, W. Stets, J. Ohser, and D. Hartmann, Computer-aided graphite classification: An approach for international standardization. Trans. of the American Foundry Society Vol. 113, pages 587–594, 2005.
[20] A. Velichko, C. Holzapfel, A. Siefers, K. Schladitz, and F. Mücklich, Unambiguous classification of complex microstructures by their three-dimensional parameters applied to graphite in cast iron. Acta Materialia, 56: 1981–1990, 2008.
[21] VGStudioMAX. Volume Graphics–VGStudio MAX, 2009. http:/
[22] S. Zucker, Region growing: Childhood and adolescence. Computer Graphics and Image Processing, 5: 382–399, 1976.
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