Image texture classification using quadrature mirror filter bank in combination with co-occurrence matrices
Thor Ole Gulsrud, John Håkon Husøy · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 1994
This paper presents a method for the classification of textures using quadrature mirror filter (QMF) bank subband decomposition in combination with statistical descriptors. In our combined method the QMF bank splits the input image into four subbands, and statistical descriptors based on co-occurrence matrices are computed from the subsampled low-low band. The experiments demonstrate that the combined method has better classification performance than that of statistical descriptors computed from the co-occurrence matrices of the whole texture image. In addition, the experiments demonstrate that the combined method based on computationally efficient IIR QMF banks yields approximately the same classification results as the combined method based on classical FIR QMF banks.