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Image description with generalized pseudo-Zernike moments.

Abstract : A new set, to our knowledge, of orthogonal moment functions for describing images is proposed. It is based on the generalized pseudo-Zernike polynomials that are orthogonal on the unit circle. The generalized pseudo-Zernike polynomials are scaled to ensure numerical stability, and some properties are discussed. The performance of the proposed moments is analyzed in terms of image reconstruction capability and invariant character recognition accuracy. Experimental results demonstrate the superiority of generalized pseudo-Zernike moments compared with pseudo-Zernike and Chebyshev-Fourier moments in both noise-free and noisy conditions.
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Contributor : Jean-Louis Dillenseger <>
Submitted on : Tuesday, November 6, 2007 - 4:19:51 PM
Last modification on : Friday, January 15, 2021 - 3:33:14 AM
Long-term archiving on: : Tuesday, April 6, 2010 - 9:42:25 PM


  • HAL Id : inserm-00133663, version 1
  • PUBMED : 17164842



Ting Xia, Hongqing Zhu, Huazhong Shu, Pascal Haigron, Limin Luo. Image description with generalized pseudo-Zernike moments.. Journal of the Optical Society of America. A Optics, Image Science, and Vision, Optical Society of America, 2007, 24 (1), pp.50-9. ⟨inserm-00133663⟩



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