Invariant image retrieval using wavelet maxima moment

Minh Do, Serge Ayer, Martin Vetterli

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


Wavelets have been shown to be an effective analysis tool for image indexing due to the fact that spatial information and visual features of images could be well captured in just a few dominant wavelet coefficients. A serious problem with current wavelet-based techniques is in the handling of affine transformations in the query image. In this work, to cure the problem of translation variance with wavelet basis transform while keeping a compact representation, the wavelet transform modulus maxima is employed. To measure the similarity between wavelet maxima representations, which is required in the context of image retrieval systems, the difference of moments is used. As a result, each image is indexed by a vector in the wavelet maxima moment space. Those extracted features are shown to be robust in searching for objects independently of position, size, orientation and image background.

Original languageEnglish (US)
Title of host publicationVisual Information and Information Systems - 3rd International Conference, VISUAL 1999, Proceedings
EditorsDionysius P. Huijsmans, Arnold W. M. Smeulders
Number of pages9
ISBN (Print)3540660798, 9783540660798
StatePublished - 1999
Externally publishedYes
Event3rd International Conference on Visual Information Systems, VISUAL 1999 - Amsterdam, Netherlands
Duration: Jun 2 1999Jun 4 1999

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Other3rd International Conference on Visual Information Systems, VISUAL 1999
City Amsterdam

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)


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