Transfer functions composition for volume data mining

Yumi Yamaguchi, Issei Fujishiro, Yuriko Takeshima, Shigeo Takahashi, Takayuki Itoh

Research output: Contribution to journalArticle

Abstract

Analytic, simulated, scanned datasets were used to evaluate two representative data-centric methods for designing transfer functions (TFs), which are a key factor determining the quality of volume rendered images. They map the physical fields of a given volume dataset to the optical properties, such as color and opacity. Designing proper TFs is difficult because they depend on both the context of the target volume dataset and the purpose of the visual exploration. A system called "Ivory" was developed to assist in the design of TFs, With it, a better TF can be composed so as to inherit different features from two original TFs.

Original languageEnglish
Pages (from-to)973-978
Number of pages6
JournalKyokai Joho Imeji Zasshi/Journal of the Institute of Image Information and Television Engineers
Volume56
Issue number6
Publication statusPublished - 2002 Jun
Externally publishedYes

Fingerprint

Transfer functions
Data mining
Chemical analysis
Opacity
Optical properties
Color

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition
  • Electronic, Optical and Magnetic Materials

Cite this

Transfer functions composition for volume data mining. / Yamaguchi, Yumi; Fujishiro, Issei; Takeshima, Yuriko; Takahashi, Shigeo; Itoh, Takayuki.

In: Kyokai Joho Imeji Zasshi/Journal of the Institute of Image Information and Television Engineers, Vol. 56, No. 6, 06.2002, p. 973-978.

Research output: Contribution to journalArticle

Yamaguchi, Yumi ; Fujishiro, Issei ; Takeshima, Yuriko ; Takahashi, Shigeo ; Itoh, Takayuki. / Transfer functions composition for volume data mining. In: Kyokai Joho Imeji Zasshi/Journal of the Institute of Image Information and Television Engineers. 2002 ; Vol. 56, No. 6. pp. 973-978.
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