Image representation using separable two-dimensional continuous and discrete orthogonal moments

DOI10.1016/j.patcog.2011.10.002zbMath1231.68273OpenAlexW2168654130MaRDI QIDQ663380

Hongqing Zhu

Publication date: 14 February 2012

Published in: Pattern Recognition (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.patcog.2011.10.002

zbMATH Keywords

classical orthogonal polynomialsseparabletensor productbivariate polynomialsdiscrete orthogonal momentscontinuous orthogonal momentslocal extraction

Mathematics Subject Classification ID

Computing methodologies for image processing (68U10) Pattern recognition, speech recognition (68T10) Orthogonal polynomials and functions of hypergeometric type (Jacobi, Laguerre, Hermite, Askey scheme, etc.) (33C45) Other special orthogonal polynomials and functions (33C47)

Related Items (8)

Image watermarking using separable fractional moments of Charlier-Meixner ⋮ Fast computation of separable two-dimensional discrete invariant moments for image classification ⋮ A basic class of symmetric orthogonal polynomials of a discrete variable ⋮ Fast algorithm of 3D discrete image orthogonal moments computation based on 3D cuboid ⋮ Reduced-order state-space models for two-dimensional discrete systems via bivariate discrete orthogonal polynomials ⋮ Reduced-order modeling methods via bivariate discrete orthogonal polynomials for two-dimensional discrete state-delayed systems ⋮ Fast computation of 3D discrete invariant moments based on 3D cuboid for 3D image classification ⋮ Bivariate Hahn moments for image reconstruction

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