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Published in:
2012 | OriginalPaper | Chapter
A Method for 3D Structured Data Set Regulation Based on Image
Authors : Tao He, Pengcheng Long, Shaoheng Zhou, Qin Zeng, Liqin Hu, Yican Wu
Published in: Recent Advances in Computer Science and Information Engineering
Publisher: Springer Berlin Heidelberg
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Huge amount of three-dimensional structured data set is generated in neutronics analysis. As for the visualization algorithms are mostly designed for the regular data set, so three-dimensional structured data set needs to be regulated at first. In this paper, in order to regulating three structured data set efficiently, regulation methods were studied, and a regulation method based on dimensional reduction and image technique was presented compared with the traditional regulation method based on interpolation methods. Testing results showed the high effectiveness of the regulation method proposed. The method has been integrated into the scientific visualization program SVIP self-developed by FDS Team