Texture modeling and parameterization based on chaotic dynamics

Duncan J. Telfer; Timo Eriksson; Keith O. Pritchard

doi:10.1117/12.179295

24 June 1994 Texture modeling and parameterization based on chaotic dynamics

Duncan J. Telfer, Timo Eriksson, Keith O. Pritchard

Proceedings Volume 2239, Visual Information Processing III; (1994) https://doi.org/10.1117/12.179295
Event: SPIE's International Symposium on Optical Engineering and Photonics in Aerospace Sensing, 1994, Orlando, FL, United States

Abstract

We review the traditional approaches to texture modeling schemes and discuss a novel approach based on chaotic dynamics. We utilize 2D chaotic processes to construct textured gray-level patterns (icons), the detailed structures of which can be matched to textured regions in the image of interest. The base equations are relatively simple and by adjustment of very few parameters, a wide range and gradation of textures can be generated reproducibly. Here, we develop a `partial-icon' approach, in which the texture templates are derived from sampled windows within the field of a single icon. A database of such textures can then be created, in which few parameters are required to reference or invoke a texture template. A hybrid descriptor-based scheme is also described so that textured regions in natural scene images can be classified effectively in terms of the contents of a texture database.

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Duncan J. Telfer, Timo Eriksson, and Keith O. Pritchard "Texture modeling and parameterization based on chaotic dynamics", Proc. SPIE 2239, Visual Information Processing III, (24 June 1994); https://doi.org/10.1117/12.179295

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KEYWORDS

Image segmentation

Visualization

Image processing

Stochastic processes

Autoregressive models

Databases

Visual process modeling

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