Some Aspects of Gaussian-Hermite Moments in Image Analysis

Authors:
Lin Wang;Youfu Wu;Mo Dai
Affiliations:
Guizhou University for Nationalities, China;Guizhou University for Nationalities, China;Michel de Montaigne University, France
Venue:
ICNC '07 Proceedings of the Third International Conference on Natural Computation - Volume 02
Year:
2007

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Abstract

The normalized orthogonal (orthonormal) Hermite moments, or Gaussian-Hermite moments, have a good performance to recover the original image, although with a limited number of moments. Hence, Gaussian- Hermite moments can be used to characterize images patterns due to its good properties. The paper also compares the noise sensibility between Gaussian- Hermite moments and geometric ones and gives experimental results in some applications. It is shown that Gaussian-Hermite moments are effective tools for image analysis.