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

Mohan M. Trivedi; Mukul V. Shirvaikar

doi:10.1117/12.151051

13 August 1993 Quantitative characterization of image clutter: problem, progress, and promises

Proceedings Volume 1967, Characterization, Propagation, and Simulation of Sources and Backgrounds III; (1993) https://doi.org/10.1117/12.151051
Event: Optical Engineering and Photonics in Aerospace Sensing, 1993, Orlando, FL, United States

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.

Citation Download Citation

Mohan M. Trivedi and Mukul V. Shirvaikar "Quantitative characterization of image clutter: problem, progress, and promises", Proc. SPIE 1967, Characterization, Propagation, and Simulation of Sources and Backgrounds III, (13 August 1993); https://doi.org/10.1117/12.151051

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