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Proceedings Paper

Novel approaches to multichannel filtering for image texture segmentation
Author(s): Trygve Randen; John Hakon Husoy
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Paper Abstract

Several approaches to multichannel filtering for texture classification and segmentation with Gabor filters have been proposed. The rationale presented for the use of the Gabor filters is their relation to models for the early vision of mammals as well as their joint optimum resolution in time and frequency. In this work we present a critical evaluation of the Gabor filters as opposed to filter banks used in image coding -- in both full rate and critically sampled realizations. In the critically sampled case, tremendous computational savings can be realized. We further evaluate the commonly used octave band decomposition versus alternative decompositions. We conclude that for a texture segmentation task it is possible to use a wider range of filters than just the Gabor class of filters, it is possible to use alternative decompositions and, most important, it is possible to use subsampled filters.

Paper Details

Date Published: 22 October 1993
PDF: 11 pages
Proc. SPIE 2094, Visual Communications and Image Processing '93, (22 October 1993); doi: 10.1117/12.157980
Show Author Affiliations
Trygve Randen, Rogaland Univ. Ctr. (Norway)
John Hakon Husoy, Rogaland Univ. Ctr. (Norway)


Published in SPIE Proceedings Vol. 2094:
Visual Communications and Image Processing '93
Barry G. Haskell; Hsueh-Ming Hang, Editor(s)

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