Image texture classification with digital filter banks and transforms

John Håkon Husøy, Trygve Randen, Thor Ole Gulsrud · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 1993

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.

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