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Proceedings Paper

Image texture classification using quadrature mirror filter bank in combination with co-occurrence matrices
Author(s): Thor Ole Gulsrud; John Hakon Husoy
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Paper Abstract

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.

Paper Details

Date Published: 21 September 1994
PDF: 10 pages
Proc. SPIE 2298, Applications of Digital Image Processing XVII, (21 September 1994); doi: 10.1117/12.186562
Show Author Affiliations
Thor Ole Gulsrud, Rogaland Univ. Ctr. (United States)
John Hakon Husoy, Rogaland Univ. Ctr. (Norway)


Published in SPIE Proceedings Vol. 2298:
Applications of Digital Image Processing XVII
Andrew G. Tescher, Editor(s)

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