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

Zhenyu He, Xinge You, Yuan Yuan

Research output: Contribution to journalArticlepeer-review

55 Scopus citations

Abstract

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
Volume89
Issue number8
DOIs
StatePublished - Aug 2009
Externally publishedYes

Keywords

  • Generalized Gaussian density
  • Non-tensor product wavelet filter banks
  • Texture image retrieval
  • Wavelet

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