Image texture classification with digital filter banks and transforms

John Hakon Husoy; Trygve Randen; Thor Ole Gulsrud

doi:10.1117/12.158643

20 October 1993 Image texture classification with digital filter banks and transforms

John Hakon Husoy, Trygve Randen, Thor Ole Gulsrud

Proceedings Volume 2028, Applications of Digital Image Processing XVI; (1993) https://doi.org/10.1117/12.158643
Event: SPIE's 1993 International Symposium on Optics, Imaging, and Instrumentation, 1993, San Diego, CA, United States

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.

Citation Download Citation

John Hakon Husoy, Trygve Randen, and Thor Ole Gulsrud "Image texture classification with digital filter banks and transforms", Proc. SPIE 2028, Applications of Digital Image Processing XVI, (20 October 1993); https://doi.org/10.1117/12.158643

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