Texture image retrieval based on non-tensor product wavelet filter banks

Zhenyu He, Xinge You*, Yuan Yuan

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review


In this paper, we present a novel method, which uses non-separable wavelet filter banks, to extract the features of texture images for texture image retrieval. Compared to traditional tensor product wavelets (such as db wavelets), our new method can capture more direction and edge information of texture images, which is highly valuable to reflect the essential properties of the texture images. Experiments show that the proposed method is satisfactory and can achieve better retrieval accuracies than db wavelets.

Original languageEnglish
Pages (from-to)1501-1510
Number of pages10
JournalSignal processing
Issue number8
Early online date10 Feb 2009
Publication statusPublished - Aug 2009


  • generalized Gaussian density
  • non-tensor product wavelet filter banks
  • texture image retrieval
  • wavelet


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