Textural metrics for clutter affecting human target acquisition

Stan R. Rothman, A. Cohen, D. Shamay, David H. Hsu, Marta L. Kowalczyk

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

9 Scopus citations

Abstract

Both edged-based and textural-based metrics can help us understand the effect of clutter in images that a human observer is searching in order to acquire targets. By studying the actual fixation points of the observers, we can determine which features distract or confuse an observer in his attempt to acquire the true target.

Original languageEnglish
Title of host publicationProceedings of SPIE - The International Society for Optical Engineering
EditorsGerald C. Holst
Pages99-112
Number of pages14
StatePublished - 1 Jan 1996
EventInfrared Imaging Systems: Design, Analysis, Modeling, and Testing VII - Orlando, FL, USA
Duration: 10 Apr 199611 Apr 1996

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume2743

Conference

ConferenceInfrared Imaging Systems: Design, Analysis, Modeling, and Testing VII
CityOrlando, FL, USA
Period10/04/9611/04/96

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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