• Title of article

    Generalized dual Hahn moment invariants

  • Author/Authors

    Karakasis، نويسنده , , E.G. and Papakostas، نويسنده , , G.A. and Koulouriotis، نويسنده , , D.E. and Tourassis، نويسنده , , V.D.، نويسنده ,

  • Issue Information
    روزنامه با شماره پیاپی سال 2013
  • Pages
    17
  • From page
    1998
  • To page
    2014
  • Abstract
    In this work we introduce a generalized expression of the weighted dual Hahn moment invariants up to any order and for any value of their parameters. In order for the proposed invariants to be formed, the weighted dual Hahn moments (up to any order and for any value of their parameters) are expressed as a linear combination of geometric ones. For this reason a formula expressing the nth degree dual Hahn polynomial, for any value of its parameters, as a linear combination of monomials ( c r · x r ), is proved. In addition, a recurrent relation for the fast computation of the aforementioned monomials coefficients (cr) is also given. Moreover, normalization aspects of the generalized weighted dual Hahn moment invariants are discussed, while a modification of them is proposed in order to avoid their numerical instabilities. Finally, experimental results and classification scenarios, including datasets of natural scenes, evaluate the proposed methodology.
  • Keywords
    Computer vision , Classification , Geometric moments , Pattern recognition , Weighted , orthogonal moments , Discrete orthogonal polynomials , Dual Hahn moment invariants
  • Journal title
    PATTERN RECOGNITION
  • Serial Year
    2013
  • Journal title
    PATTERN RECOGNITION
  • Record number

    1735454