• DocumentCode
    13450
  • Title

    General Form for Obtaining Unit Disc-Based Generalized Orthogonal Moments

  • Author

    Hongqing Zhu ; Yan Yang ; Xiaoli Zhu ; Zhiguo Gui ; Huazhong Shu

  • Author_Institution
    Sch. of Inf. Sci. & Eng., East China Univ. of Sci. & Technol., Shanghai, China
  • Volume
    23
  • Issue
    12
  • fYear
    2014
  • fDate
    Dec. 2014
  • Firstpage
    5455
  • Lastpage
    5469
  • Abstract
    The rotation invariance of the classical disc-based moments, such as Zernike moments (ZMs), pseudo-ZMs (PZMs), and orthogonal Fourier-Mellin moments (OFMMs), makes them attractive as descriptors for the purpose of recognition tasks. However, less work has been performed for the generalization of these moment functions. In this paper, four general forms are developed to obtain a class of disc-based generalized radial polynomials that are orthogonal over the unit circle. These radial polynomials are scaled to ensure numerical stability, and some useful properties are discussed for potential applications they could be used in. Then, these scaled radial polynomials are used as kernel functions to construct a series of unit discbased generalized orthogonal moments (DGMs). The variation of parameters in DGMs can form various types of orthogonal moments: 1) generalized ZMs; 2) generalized PZMs; and 3) generalized OFMMs. The classical ZMs, PZMs, and OFMMs correspond to a special case of these three generalized moments for which the free parameter α = 0. Each member of this family will share some excellent properties for image representation and recognition tasks, such as orthogonality and rotation invariance. In addition, we have also developed two algorithms, the so-called m-recursive and n-recursive methods for the computation of these proposed radial polynomials to improve the numerical stability. Experimental results show that the proposed methods are superior to the classical disc-based moments in terms of image representation capability and classification accuracy.
  • Keywords
    image recognition; image representation; numerical stability; Zernike moments; disc-based generalized orthogonal moments; disc-based generalized radial polynomials; disc-based moments; free parameter; image recognition tasks; image representation; m-recursive methods; n-recursive methods; numerical stability; orthogonal Fourier-Mellin moments; radial polynomials; unit disc-based generalized orthogonal moments; Accuracy; Educational institutions; Image analysis; Jacobian matrices; Numerical stability; Pattern recognition; Polynomials; General form; generalized radial polynomials; orthogonal moments; recurrence relations; rotation invariants; unit disc;
  • fLanguage
    English
  • Journal_Title
    Image Processing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1057-7149
  • Type

    jour

  • DOI
    10.1109/TIP.2014.2365353
  • Filename
    6936932