20 October 1993 Image texture classification with digital filter banks and transforms
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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.
© (1993) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
John Hakon Husoy, John Hakon Husoy, Trygve Randen, Trygve Randen, Thor Ole Gulsrud, Thor Ole Gulsrud, } "Image texture classification with digital filter banks and transforms", Proc. SPIE 2028, Applications of Digital Image Processing XVI, (20 October 1993); doi: 10.1117/12.158643; https://doi.org/10.1117/12.158643
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