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Comparative Visualization for Parameter Studies of Dataset Series
September/October 2010 (vol. 16 no. 5)
pp. 829-840
Muhammad Muddassir Malik, Vienna University of Technology, Vienna
Christoph Heinzl, Upper Austria University of Applied Sciences Research and Development Ltd., Wels
M. Eduard Gröller, Vienna University of Technology, Vienna
This paper proposes comparison and visualization techniques to carry out parameter studies for the special application area of dimensional measurement using 3D X-ray computed tomography (3DCT). A dataset series is generated by scanning a specimen multiple times by varying parameters of an industrial 3DCT device. A high-resolution series is explored using our planar-reformatting-based visualization system. We present a novel multi-image view and an edge explorer for comparing and visualizing gray values and edges of several datasets simultaneously. Visualization results and quantitative data are displayed side by side. Our technique is scalable and generic. It can be effective in various application areas like parameter studies of imaging modalities and dataset artifact detection. For fast data retrieval and convenient usability, we use bricking of the datasets and efficient data structures. We evaluate the applicability of the proposed techniques in collaboration with our company partners.

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Index Terms:
Comparative visualization, parameter visualization, industrial computed tomography, multiple dataset visualization.
Muhammad Muddassir Malik, Christoph Heinzl, M. Eduard Gröller, "Comparative Visualization for Parameter Studies of Dataset Series," IEEE Transactions on Visualization and Computer Graphics, vol. 16, no. 5, pp. 829-840, Sept.-Oct. 2010, doi:10.1109/TVCG.2010.20
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