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Proceedings Paper

Structural Analysis Of Natural Textures
Author(s): Felicia Vilnrotter; Ramakant Nevatia; Keith E. Price
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Paper Abstract

A technique to analyze patterns in terms of individual texture primitives and their spatial relationships is described. The technique is applied to natural textures. The descriptions consist of the primitive sizes and their repetition pattern if any. The derived descriptions can be used for recognition or reconstruction of the pattern.* INTRODUCTION Areas of an image are better characterized by descriptions of their texture than by pure intensity information. Texture is most easily described as the pattern of the spatial arrangement of different intensities (or colors). The different textures in an image are usually very apparent to a human observer, but automatic description of these patterns has proved to be very complex. In this research, we are concerned with a description of the texture which corresponds, in some sense, to a description produced by a person looking at the image. Many statistical textural measures have been proposed in the past [1-4]. Reference 1 gives a good review of various texture analysis methods. Among the statistical measures which have been discussed, and used, analysis of generalized gray-level co-occurrence matrices [2], analysis of edge directions with co-occurrence matrices [3], and analysis of the edges (or micro-edges) in a subwindow [4]. The statistical methods, by themselves, do not produce descriptions in the form which we desire. Some of the measures may indicate certain underlying structures in the pattern, but do not produce a general description. The Fourier transform has been used to determine some structural descriptions but was only partially successful for more complex patterns [5].

Paper Details

Date Published: 12 November 1981
PDF: 8 pages
Proc. SPIE 0281, Techniques and Applications of Image Understanding, (12 November 1981);
Show Author Affiliations
Felicia Vilnrotter, University of Southern California Los Angeles (United States)
Ramakant Nevatia, University of Southern California Los Angeles (United States)
Keith E. Price, University of Southern California Los Angeles (United States)

Published in SPIE Proceedings Vol. 0281:
Techniques and Applications of Image Understanding
James J. Pearson, Editor(s)

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