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Proceedings Paper

Texture modeling and parameterization based on chaotic dynamics
Author(s): Duncan J. Telfer; Timo Eriksson; Keith O. Pritchard
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Paper 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.

Paper Details

Date Published: 24 June 1994
PDF: 12 pages
Proc. SPIE 2239, Visual Information Processing III, (24 June 1994); doi: 10.1117/12.179295
Show Author Affiliations
Duncan J. Telfer, Univ. of Central Lancashire (United Kingdom)
Timo Eriksson, Univ. of Central Lancashire (United Kingdom)
Keith O. Pritchard, Univ. of Central Lancashire (United Kingdom)


Published in SPIE Proceedings Vol. 2239:
Visual Information Processing III
Friedrich O. Huck; Richard D. Juday, Editor(s)

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