Texture boundary classification using Gabor elementary functions

Dennis F. Dunn; William E. Higgins; Anthony Maida; Joseph Wakeley

doi:10.1117/12.50388

1 November 1991 Texture boundary classification using Gabor elementary functions

Dennis F. Dunn, William E. Higgins, Anthony Maida, Joseph Wakeley

Proceedings Volume 1606, Visual Communications and Image Processing '91: Image Processing; (1991) https://doi.org/10.1117/12.50388
Event: Visual Communications, '91, 1991, Boston, MA, United States

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.

Citation Download Citation

Dennis F. Dunn, William E. Higgins, Anthony Maida, and Joseph Wakeley "Texture boundary classification using Gabor elementary functions", Proc. SPIE 1606, Visual Communications and Image Processing '91: Image Processing, (1 November 1991); https://doi.org/10.1117/12.50388

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