Texture boundary classification using Gabor elementary functions

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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Citations (Scopus)

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.

Original languageEnglish (US)
Title of host publicationProceedings of SPIE - The International Society for Optical Engineering
PublisherPubl by Int Soc for Optical Engineering
Pages541-552
Number of pages12
Editionpt 1
ISBN (Print)0819407437
StatePublished - Dec 1 1991
EventVisual Communications and Image Processing '91: Image Processing Part 1 (of 2) - Boston, MA, USA
Duration: Nov 11 1991Nov 13 1991

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Numberpt 1
Volume1606
ISSN (Print)0277-786X

Other

OtherVisual Communications and Image Processing '91: Image Processing Part 1 (of 2)
CityBoston, MA, USA
Period11/11/9111/13/91

Fingerprint

Elementary Functions
Texture
textures
Textures
Filter
filters
Discontinuity
Texture Segmentation
discontinuity
Filter Banks
Filter banks
Efficacy
Detector
Detectors
Unknown
Configuration
Demonstrate
detectors
configurations

All Science Journal Classification (ASJC) codes

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

Cite this

Dunn, D., Higgins, W. E., Maida, A., & Wakeley, J. (1991). Texture boundary classification using Gabor elementary functions. In Proceedings of SPIE - The International Society for Optical Engineering (pt 1 ed., pp. 541-552). (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 1606, No. pt 1). Publ by Int Soc for Optical Engineering.
Dunn, Dennis ; Higgins, William E. ; Maida, Anthony ; Wakeley, Joseph. / Texture boundary classification using Gabor elementary functions. Proceedings of SPIE - The International Society for Optical Engineering. pt 1. ed. Publ by Int Soc for Optical Engineering, 1991. pp. 541-552 (Proceedings of SPIE - The International Society for Optical Engineering; pt 1).
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Dunn, D, Higgins, WE, Maida, A & Wakeley, J 1991, Texture boundary classification using Gabor elementary functions. in Proceedings of SPIE - The International Society for Optical Engineering. pt 1 edn, Proceedings of SPIE - The International Society for Optical Engineering, no. pt 1, vol. 1606, Publ by Int Soc for Optical Engineering, pp. 541-552, Visual Communications and Image Processing '91: Image Processing Part 1 (of 2), Boston, MA, USA, 11/11/91.

Texture boundary classification using Gabor elementary functions. / Dunn, Dennis; Higgins, William E.; Maida, Anthony; Wakeley, Joseph.

Proceedings of SPIE - The International Society for Optical Engineering. pt 1. ed. Publ by Int Soc for Optical Engineering, 1991. p. 541-552 (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 1606, No. pt 1).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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N2 - 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.

AB - 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.

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Dunn D, Higgins WE, Maida A, Wakeley J. Texture boundary classification using Gabor elementary functions. In Proceedings of SPIE - The International Society for Optical Engineering. pt 1 ed. Publ by Int Soc for Optical Engineering. 1991. p. 541-552. (Proceedings of SPIE - The International Society for Optical Engineering; pt 1).