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Proceedings Paper

Texture boundary classification using Gabor elementary functions
Author(s): Dennis F. Dunn; William E. Higgins; Anthony Maida; Joseph Wakeley
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Paper Abstract

Many texture-segmentation mechanisms take the form of an elaborate bank of filters. Commonly used within such mechanisms are the Gabor elementary functions (GEFs). While filter-bank-based mechanisms show promise and some analytical work has been done to demonstrate the efficacy of GEFs, the relationships between texture differences and the filter configurations required to discriminate these differences remain largely unknown. In this paper, we given analytical and experimental evidence that suggests that various types of discontinuities can occur at texture boundaries when appropriately 'tuned' GEF-based filters are applied to a textured image; thus, by applying a discontinuity-detection scheme (i.e., edge detector) to such a filtered image, one can segment the image into different textured regions.

Paper Details

Date Published: 1 November 1991
PDF: 12 pages
Proc. SPIE 1606, Visual Communications and Image Processing '91: Image Processing, (1 November 1991); doi: 10.1117/12.50388
Show Author Affiliations
Dennis F. Dunn, The Pennsylvania State Univ. (United States)
William E. Higgins, The Pennsylvania State Univ. (United States)
Anthony Maida, The Pennsylvania State Univ. (United States)
Joseph Wakeley, The Pennsylvania State Univ. (United States)

Published in SPIE Proceedings Vol. 1606:
Visual Communications and Image Processing '91: Image Processing
Kou-Hu Tzou; Toshio Koga, Editor(s)

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