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The application of wavelet invariant moments to image recognition

  • Northwestern Polytechnical University Xian

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

5 Scopus citations

Abstract

In this paper, wavelets invariant moments are presented based on general moment features and are applied to the recognition of airplane images. The experiments prove that wavelet invariant moments are superior to Hu's invariant moments and Zernike invariant moments on recognition efficiency.

Original languageEnglish
Title of host publicationProceedings of the 2006 International Conference on Machine Learning and Cybernetics
PublisherIEEE Computer Society
Pages3243-3247
Number of pages5
ISBN (Print)1424400619, 9781424400614
DOIs
StatePublished - 2006
Event5th International Conference on Machine Learning and Cybernetics, ICMLC 2006 - Dalian, China
Duration: 13 Aug 200616 Aug 2006

Publication series

NameProceedings of the 2006 International Conference on Machine Learning and Cybernetics
Volume2006

Conference

Conference5th International Conference on Machine Learning and Cybernetics, ICMLC 2006
Country/TerritoryChina
CityDalian
Period13/08/0616/08/06

Keywords

  • BP neural network
  • Divergence
  • Feature selection
  • Hu's invariant moments
  • Sequential forward selection
  • Wavelet invariant moments
  • Zernike invariant moments

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