ISpace: Interactive volume data classification techniques using independent component analysis

Ikuko Takanashi, Eric B. Lum, Kwan-Liu Ma, Shigeru Muraki

Research output: Chapter in Book/Report/Conference proceedingConference contribution

19 Scopus citations

Abstract

This paper introduces an interactive classification technique for volume data, called ISpace, which uses Independent Component Analysis (ICA) and a multidimensional histogram of the volume data in a transformed space. Essentially, classification in the volume domain becomes equivalent to interactive clipping in the ICA space, which as demonstrated using several examples is more intuitive and direct for the user to classify data. The result is an opacity transfer function defined for rendering multivariate scalar volume data.

Original languageEnglish (US)
Title of host publicationProceedings - 10th Pacific Conference on Computer Graphics and Applications, PG 2002
EditorsShi-Min Hu, Heung-Yeung Shum, Sabine Coquillart
PublisherIEEE Computer Society
Pages366-374
Number of pages9
Volume2002-January
ISBN (Electronic)0769517846
DOIs
StatePublished - Jan 1 2002
Event10th Pacific Conference on Computer Graphics and Applications, PG 2002 - Beijing, China
Duration: Oct 9 2002Oct 11 2002

Other

Other10th Pacific Conference on Computer Graphics and Applications, PG 2002
CountryChina
CityBeijing
Period10/9/0210/11/02

Keywords

  • Biological materials
  • Biomedical imaging
  • Data visualization
  • Histograms
  • Image segmentation
  • Independent component analysis
  • Information technology
  • Rendering (computer graphics)
  • Space technology
  • Transfer functions

ASJC Scopus subject areas

  • Software
  • Computer Graphics and Computer-Aided Design
  • Modeling and Simulation

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