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Proceedings Paper

Quantitative characterization of image clutter: problem, progress, and promises
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Paper Abstract

In this paper we present an overview of research studies aimed at deriving quantitative measured for image clutter. Image clutter is identified as a perceptual effect and therefore quantitative measures for clutter should be derived on the basis of models for perception. Previous studies in the field have produced limited success since they concentrated on the signal level interpretation in clutter characterization. In this study, we promote examination of the clutter problem at a higher level, where preattentive cues form the basis for their definition. Specifically, we derive clutter measures based upon preattentive texture features. Results of an extensive experimental study highlight the limitations of signal level clutter measures and the utility of texture based measures.

Paper Details

Date Published: 13 August 1993
PDF: 12 pages
Proc. SPIE 1967, Characterization, Propagation, and Simulation of Sources and Backgrounds III, (13 August 1993); doi: 10.1117/12.151051
Show Author Affiliations
Mohan M. Trivedi, Univ. of Tennessee/Knoxville (United States)
Mukul V. Shirvaikar, Univ. of Tennessee/Knoxville (United States)

Published in SPIE Proceedings Vol. 1967:
Characterization, Propagation, and Simulation of Sources and Backgrounds III
Wendell R. Watkins; Dieter Clement, Editor(s)

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