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Proceedings Paper

Image texture classification with digital filter banks and transforms
Author(s): John Hakon Husoy; Trygve Randen; Thor Ole Gulsrud
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Paper Abstract

Several frequency domain or joint spatial/frequency domain techniques for image texture classification have been published. We formulate these techniques within a common signal processing framework based on digital filter banks. The usefulness of computationally efficient IIR filter banks as channel filters in texture classifiers is demonstrated. Using estimates of local energy in the frequency channels we also propose a technique for selecting optimum filter banks by maximizing a between class distance measure. This optimization is particularly simple when using the IIR based filter banks.

Paper Details

Date Published: 20 October 1993
PDF: 12 pages
Proc. SPIE 2028, Applications of Digital Image Processing XVI, (20 October 1993); doi: 10.1117/12.158643
Show Author Affiliations
John Hakon Husoy, Rogaland Univ. Ctr. (Norway)
Trygve Randen, Rogaland Univ. Ctr. (Norway)
Thor Ole Gulsrud, Rogaland Univ. Ctr. (United States)


Published in SPIE Proceedings Vol. 2028:
Applications of Digital Image Processing XVI
Andrew G. Tescher, Editor(s)

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