Moment-based image normalization with high noise-tolerance

Matthias Gruber*, Ken-Yuh Hsu

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

41 Scopus citations


Abstract-In this paper the effects of noise with nonzero mean on existing moment-based image normalization methods are studied. Several modifications to reduce noise sensitivity are presented and tested. They involve nonlinear mapping and fractional- and negativeorder moments.

Original languageEnglish
Pages (from-to)136-138
Number of pages3
JournalIEEE Transactions on Pattern Analysis and Machine Intelligence
Issue number2
StatePublished - 1 Dec 1997


  • Image centroid
  • Image normalization
  • Moments
  • Noise suppression
  • Pattern recognition

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