Generalized dual Hahn moment invariants

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摘要

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 (cr·xr), 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.

论文关键词:Discrete orthogonal polynomials,Orthogonal moments,Dual Hahn moment invariants,Geometric moments,Pattern recognition,Classification,Computer vision,Weighted

论文评审过程:Received 13 December 2010, Revised 8 September 2012, Accepted 7 January 2013, Available online 17 January 2013.

论文官网地址:https://doi.org/10.1016/j.patcog.2013.01.008