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Properties of Orthogonal Gaussian-Hermite Moments and Their Applications

Abstract

Moments are widely used in pattern recognition, image processing, and computer vision and multiresolution analysis. In this paper, we first point out some properties of the orthogonal Gaussian-Hermite moments, and propose a new method to detect the moving objects by using the orthogonal Gaussian-Hermite moments. The experiment results are reported, which show the good performance of our method.

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Correspondence to Youfu Wu.

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Open Access This article is distributed under the terms of the Creative Commons Attribution 2.0 International License ( https://creativecommons.org/licenses/by/2.0 ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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Wu, Y., Shen, J. Properties of Orthogonal Gaussian-Hermite Moments and Their Applications. EURASIP J. Adv. Signal Process. 2005, 439420 (2005). https://doi.org/10.1155/ASP.2005.588

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  • DOI: https://doi.org/10.1155/ASP.2005.588

Keywords and phrases

  • orthogonal Gaussian-Hermite moments
  • detecting moving objects
  • object segmentation
  • Gaussian filter
  • localization errors