Moment-Based Image Normalization With High Noise-Tolerance

  • Authors:
  • Matthias Gruber;Ken-Yuh Hsu

  • Affiliations:
  • -;-

  • Venue:
  • IEEE Transactions on Pattern Analysis and Machine Intelligence
  • Year:
  • 1997

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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 negative-order moments.