Integrated approach to texture segmentation using multiple Gabor filters

Thomas P. Weldon, William Evan Higgins

Research output: Contribution to conferencePaper

12 Scopus citations

Abstract

This paper presents an integrated approach using multiple Gabor filters for the segmentation of multi-textured images. The approach includes both the design of the constituent Gabor filters and the design of the classifier and postprocessing. The classifier uses a mixture density to reduce localization error at texture boundaries, and the postprocessing uses morphological operators to remove spurious misclassifications at texture boundaries. Results are presented that confirm the efficacy of the postprocessing methods and the overall integrated approach.

Original languageEnglish (US)
Pages955-958
Number of pages4
StatePublished - Dec 1 1996
EventProceedings of the 1996 IEEE International Conference on Image Processing, ICIP'96. Part 2 (of 3) - Lausanne, Switz
Duration: Sep 16 1996Sep 19 1996

Other

OtherProceedings of the 1996 IEEE International Conference on Image Processing, ICIP'96. Part 2 (of 3)
CityLausanne, Switz
Period9/16/969/19/96

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All Science Journal Classification (ASJC) codes

  • Hardware and Architecture
  • Computer Vision and Pattern Recognition
  • Electrical and Electronic Engineering

Cite this

Weldon, T. P., & Higgins, W. E. (1996). Integrated approach to texture segmentation using multiple Gabor filters. 955-958. Paper presented at Proceedings of the 1996 IEEE International Conference on Image Processing, ICIP'96. Part 2 (of 3), Lausanne, Switz, .