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Proceedings Paper

Textural metrics for clutter affecting human target acquisition
Author(s): Stanley R. Rotman; Ari Cohen-Nov; D. Shamay; David H. Hsu; Marta L. Kowalczyk
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Paper 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.

Paper Details

Date Published: 10 June 1996
PDF: 14 pages
Proc. SPIE 2743, Infrared Imaging Systems: Design, Analysis, Modeling, and Testing VII, (10 June 1996); doi: 10.1117/12.241951
Show Author Affiliations
Stanley R. Rotman, Ben-Gurion Univ. of the Negev (Israel)
Ari Cohen-Nov, Ben-Gurion Univ. of the Negev (Israel)
D. Shamay, Ben-Gurion Univ. of the Negev (Israel)
David H. Hsu, Institute for Defense Analyses (United States)
Marta L. Kowalczyk, Institute for Defense Analyses (United States)


Published in SPIE Proceedings Vol. 2743:
Infrared Imaging Systems: Design, Analysis, Modeling, and Testing VII
Gerald C. Holst, Editor(s)

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