Novel moment invariants for improved classification performance in computer vision applications

DOI10.1016/J.PATCOG.2009.05.008zbMath1176.68218OpenAlexW2064861832MaRDI QIDQ733134

D. E. Koulouriotis, E. G. Karakasis, G. A. Papakostas

Publication date: 15 October 2009

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

Full work available at URL: https://doi.org/10.1016/j.patcog.2009.05.008

zbMATH Keywords

pattern recognitioncomputer visionfeature extractionmoment invariantsimage block representationslice moments

Mathematics Subject Classification ID

Computing methodologies for image processing (68U10) Pattern recognition, speech recognition (68T10) Machine vision and scene understanding (68T45)

Related Items (6)

Moment-based local image watermarking via genetic optimization ⋮ Fast computation of separable two-dimensional discrete invariant moments for image classification ⋮ Computation strategies of orthogonal image moments: a comparative study ⋮ Measuring cubeness in the limit cases ⋮ Bivariate Hahn moments for image reconstruction ⋮ Generalized dual Hahn moment invariants

Uses Software

• Yale Face
• COIL-20

Cites Work

• A new class of Zernike moments for computer vision applications
• Fast algorithm for generation of moment invariants
• Geometric moment invariants
• Numerical stability of fast computation algorithms of Zernike moments
• Invariant optimal feature selection: A distance discriminant and feature ranking based solution
• Efficient and accurate computation of geometric moments on gray-scale images
• Image analysis by Tchebichef moments
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• Unnamed Item

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