Paper
10 June 1996 Textural metrics for clutter affecting human target acquisition
Stanley R. Rotman, Ari Cohen-Nov, D. Shamay, David H. Hsu, Marta L. Kowalczyk
Author Affiliations +
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.
© (1996) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Stanley R. Rotman, Ari Cohen-Nov, D. Shamay, David H. Hsu, and Marta L. Kowalczyk "Textural metrics for clutter affecting human target acquisition", Proc. SPIE 2743, Infrared Imaging Systems: Design, Analysis, Modeling, and Testing VII, (10 June 1996); https://doi.org/10.1117/12.241951
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CITATIONS
Cited by 7 scholarly publications.
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KEYWORDS
Target acquisition

Target detection

Infrared imaging

Infrared radiation

Matrices

Computer engineering

Defense and security

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