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Non-separable rotation moment invariants

  1. 1.
    SYSNO ASEP0555291
    Document TypeJ - Journal Article
    R&D Document TypeJournal Article
    Subsidiary JČlánek ve WOS
    TitleNon-separable rotation moment invariants
    Author(s) Bedratyuk, L. (UA)
    Flusser, Jan (UTIA-B) RID, ORCID
    Suk, Tomáš (UTIA-B) RID, ORCID
    Kostková, Jitka (UTIA-B) ORCID
    Kautský, J. (AU)
    Number of authors5
    Article number108607
    Source TitlePattern Recognition. - : Elsevier - ISSN 0031-3203
    Roč. 127, č. 1 (2022)
    Number of pages12 s.
    Publication formPrint - P
    Languageeng - English
    CountryGB - United Kingdom
    KeywordsImage recognition ; Rotation invariants ; Non-separable moments ; Appell polynomials ; Bi-orthogonality ; Recurrent relation
    Subject RIVJD - Computer Applications, Robotics
    OECD categoryComputer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
    R&D ProjectsGA21-03921S GA ČR - Czech Science Foundation (CSF)
    Method of publishingLimited access
    Institutional supportUTIA-B - RVO:67985556
    UT WOS000784335600003
    EID SCOPUS85125526639
    DOI https://doi.org/10.1016/j.patcog.2022.108607
    AnnotationIn this paper, we introduce new rotation moment invariants, which are composed of non-separable Appell moments. We prove that Appell polynomials behave under rotation as monomials, which enables easy construction of the invariants. We show by extensive tests that non-separable moments may outperform the separable ones in terms of recognition power and robustness thanks to a better distribution of their zero curves over the image space.
    WorkplaceInstitute of Information Theory and Automation
    ContactMarkéta Votavová, votavova@utia.cas.cz, Tel.: 266 052 201.
    Year of Publishing2023
    Electronic addresshttps://www.sciencedirect.com/science/article/pii/S0031320322000887?via%3Dihub
Number of the records: 1  

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