Vector field visualization: Analysis of feature extraction methods

G. Harikumar, Y. Bresler

Research output: Contribution to journalConference articlepeer-review


This paper addresses the problem of the visualization of vector-valued images. Attempting to synthesize a display matched to the capabilities of a human observer, we have reduced the problem to the extraction of the best linear feature of the vector field. In previous work, we have proposed and demonstrated several new nonparametric feature extraction criteria (projection indices) that make use of both the spatial and multivariate structures of the data. We present a theoretical analysis of these projection indices and a Monte-Carlo study of their effectiveness. The study uses performance measures derived from a decision-theoretic model of the human observer.

Original languageEnglish (US)
Article number413529
Pages (from-to)51-55
Number of pages5
JournalProceedings - International Conference on Image Processing, ICIP
StatePublished - 1994
EventThe 1994 1st IEEE International Conference on Image Processing - Austin, TX, USA
Duration: Nov 13 1994Nov 16 1994

ASJC Scopus subject areas

  • Software
  • Computer Vision and Pattern Recognition
  • Signal Processing


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