Paper
17 June 1996 Texture perception in humans and computers: models and psychophysical experiments
Anthony C. Copeland, Mohan M. Trivedi
Author Affiliations +
Abstract
In this paper, research studies aimed at the development of computational models, specifically for an important preattentive cue, texture, are discussed. The primary basis for the development of computational texture models is to match them with how a human perceives textured patterns. This matching between human and quantitative models is accomplished with the help of an extensive series of psychophysical experiments. Observers view textured patterns, which are generated with a precise mathematical model, and human responses are used to develop a ranking of distinctness of texture patterns. We illustrate the use of these computational and psychophysical experimental tools for the analysis and characterization of real-world high resolution imagery acquired in thermal and visible bands. These results are applicable to image clutter characterization, camouflage assessment, and automatic target detection and recognition tasks.
© (1996) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Anthony C. Copeland and Mohan M. Trivedi "Texture perception in humans and computers: models and psychophysical experiments", Proc. SPIE 2742, Targets and Backgrounds: Characterization and Representation II, (17 June 1996); https://doi.org/10.1117/12.243022
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Cited by 8 scholarly publications.
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KEYWORDS
Image processing

Matrices

Mathematical modeling

Statistical analysis

Computing systems

Target detection

Visualization

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