Algorithm for designing multiple gabor filters for segmenting multi-textured images

Thomas P. Weldon, William Evan Higgins

Research output: Contribution to conferencePaper

25 Scopus citations

Abstract

We present an algorithm for the design of multiple Gabor filters for the segmentation of multi-textured images. We draw upon earlier results that provide a segmentation error measure based on the predicted vector output statistics of multiple filter channels. This segmentation error measure is used to design the filter channels for a particular segmentation task. In our approach, the filter parameters are free to vary from channel to channel and are not restricted to some predetermined decomposition of the frequency plane. Thus, our method can generate more effective filter designs and result in more effective features for image segmentation than prior methods. Finally, we present texture segmentation results that confirm the efficacy of the proposed procedure. These results show effective segmentation of 8 textures using as few as 2 filters, whereas earlier approaches required 13 to 40 filters to segment 5 textures.

Original languageEnglish (US)
Pages333-337
Number of pages5
StatePublished - Dec 1 1998
EventProceedings of the 1998 International Conference on Image Processing, ICIP. Part 2 (of 3) - Chicago, IL, USA
Duration: Oct 4 1998Oct 7 1998

Other

OtherProceedings of the 1998 International Conference on Image Processing, ICIP. Part 2 (of 3)
CityChicago, IL, USA
Period10/4/9810/7/98

All Science Journal Classification (ASJC) codes

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

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    Weldon, T. P., & Higgins, W. E. (1998). Algorithm for designing multiple gabor filters for segmenting multi-textured images. 333-337. Paper presented at Proceedings of the 1998 International Conference on Image Processing, ICIP. Part 2 (of 3), Chicago, IL, USA, .