Multi-resolution Fourier-based texture image retrieval

Abdelhamid Abdesselam*

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution


During the last decades, several approaches were proposed to describe texture contents of an image. In early research works, the texture features were mainly extracted from the pixel space itself (Edge histograms, Co-occurrence-based features). Later on, the focus was more on the use of dual spaces (transform of pixel space) such as frequency space or spaces resulting from Gabor and wavelet transforms. Recent physiological studies showed that the human visual system can be modeled as a set of independent channels of various orientations and scales, this finding motivated the proliferation of multi-resolution methods for describing texture images. Most of these methods are either wavelet-based or Gabor-based. In this paper we propose a multi-resolution technique for characterizing and retrieving images which works on the Fourier domain. Our approach differs from the work of [3] since it applies global Fourier transform on a hierarchy of images of various resolutions while their approach uses local (windowed) Fourier transform of increasing sizes. The experiments we have conducted showed that the multi-resolution approach improves the retrieval accuracy of the similar method that uses the same texture feature vector but in a single resolution. The experiments have also demonstrated that our Fourier based multi-resolution technique outperforms many wavelet-based multi-resolution techniques recently described in literature.

Original languageEnglish
Title of host publicationProceedings of the 2009 Conference on Information Science, Technology and Applications, ISTA '09
Number of pages6
Publication statusPublished - 2009
Event2009 Conference on Information Science, Technology and Applications, ISTA '09 - Kuwait, Kuwait
Duration: Mar 20 2009Mar 22 2009

Publication series

NameProceedings of the 2009 Conference on Information Science, Technology and Applications, ISTA '09


Other2009 Conference on Information Science, Technology and Applications, ISTA '09


  • Fourier transform
  • Multi-resolution analysis
  • Texture-based image retrieval

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Hardware and Architecture
  • Information Systems
  • Software


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