A method for 3D structured data set regulation based on image

  • Tao He
  • , Pengcheng Long
  • , Shaoheng Zhou
  • , Qin Zeng
  • , Liqin Hu
  • , Yican Wu

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

5 Scopus citations

Abstract

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

Original languageEnglish
Title of host publicationRecent Advances in Computer Science and Information Engineering
PublisherSpringer Verlag
Pages643-648
Number of pages6
EditionVOL. 3
ISBN (Print)9783642257650
DOIs
StatePublished - 2012
Event2nd World Congress on Computer Science and Information Engineering, CSIE 2011 - Changchun, China
Duration: 17 Jun 201119 Jun 2011

Publication series

NameLecture Notes in Electrical Engineering
NumberVOL. 3
Volume126 LNEE
ISSN (Print)1876-1100
ISSN (Electronic)1876-1119

Conference

Conference2nd World Congress on Computer Science and Information Engineering, CSIE 2011
Country/TerritoryChina
CityChangchun
Period17/06/1119/06/11

Keywords

  • Dimensional reduction
  • Regulation method
  • Scientific visualization
  • Three dimensional structured data set

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