Vector field visualization by projection pursuit: analysis of projection indices

G. Harikumar, Yoram Bresler

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

Abstract

The problem of the visualization of multidimensional data, specifically vector fields has been addressed. A version of Projection Pursuit has been applied to the task. We have analyzed four projection indices that have been proposed for this purpose. A quantitative measure for the quality of an image was developed. this was used to determine optimum values of the parameters appearing in the definitions of the indices, and to compare the performance of the indices. The robust edginess index and the local clustering index appear to be the most versatile. The various indices were compared by using a segmentation based criterion.

Original languageEnglish (US)
Title of host publicationProceedings of SPIE - The International Society for Optical Engineering
PublisherSociety of Photo-Optical Instrumentation Engineers
Pages942-953
Number of pages12
Editionp 2
ISBN (Print)081941638X
StatePublished - 1994
EventVisual Communications and Image Processing '94 - Chicago, IL, USA
Duration: Sep 25 1994Sep 29 1994

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Numberp 2
Volume2308
ISSN (Print)0277-786X

Other

OtherVisual Communications and Image Processing '94
CityChicago, IL, USA
Period9/25/949/29/94

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

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