Modeling of human perception of pictorial visual information

E. Zakharko; Roman S. Bachevskij

doi:10.1117/12.172574

1 May 1994 Modeling of human perception of pictorial visual information

E. Zakharko, Roman S. Bachevskij

Proceedings Volume 2180, Nonlinear Image Processing V; (1994) https://doi.org/10.1117/12.172574
Event: IS&T/SPIE 1994 International Symposium on Electronic Imaging: Science and Technology, 1994, San Jose, CA, United States

Abstract

This paper discusses the investigation and modeling of human perception of pictorial visual information during landscape interpretation of space and air earth's surface remote images. The conception of iconic sign (element of perceptive clusterization) is taken as a principle. The perception process is modeled from semiotical approach. The division of information into syntactic, semantic, and pragmatic aspects is assumed as a basis. Image syntax (construction) is determined according to spatial distribution of image brightness. Image could be described by formal language, consisting of image structural element's alphabet (such as unreduced element, grain, contour, region), range alphabet, which characterizes some hierarchical ranges of structural element's relations and a number of substitution rules. Such image representation describes its syntax in terms of hierarchical typical fragments of image, takes into consideration image construction and relation's structure, corresponding to human perception. Different types of semantics are discussed. The limiters of algorithmic, heuristic, and creative types are considered.

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E. Zakharko and Roman S. Bachevskij "Modeling of human perception of pictorial visual information", Proc. SPIE 2180, Nonlinear Image Processing V, (1 May 1994); https://doi.org/10.1117/12.172574

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KEYWORDS

Information visualization

Visualization

Image processing

Chemical elements

Visual process modeling

Nonlinear image processing

Image analysis

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