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3D Non-separable Moment Invariants

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985556%3A_____%2F23%3A00575788" target="_blank" >RIV/67985556:_____/23:00575788 - isvavai.cz</a>

  • Result on the web

    <a href="http://dx.doi.org/10.1007/978-3-031-44237-7_28" target="_blank" >http://dx.doi.org/10.1007/978-3-031-44237-7_28</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1007/978-3-031-44237-7_28" target="_blank" >10.1007/978-3-031-44237-7_28</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    3D Non-separable Moment Invariants

  • Original language description

    In this paper, we introduce new 3D rotation moment invariants, which are composed of non-separable Appell moments. The Appell moments can be substituted directly into the 3D rotation invariants instead of the geometric moments without violating their invariance. We show that non-separable moments may outperform the separable ones in terms of recognition power and robustness thanks to a better distribution of their zero surfaces over the image space. We test the numerical properties and discrimination power of the proposed invariants on three real datasets – MRI images of human brain, 3D scans of statues, and confocal microscope images of worms.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    20206 - Computer hardware and architecture

Result continuities

  • Project

    <a href="/en/project/GA21-03921S" target="_blank" >GA21-03921S: Inverse problems in image processing</a><br>

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2023

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    Computer Analysis of Images and Patterns. CAIP 2023

  • ISBN

    978-3-031-44236-0

  • ISSN

  • e-ISSN

  • Number of pages

    11

  • Pages from-to

    295-305

  • Publisher name

    Springer

  • Place of publication

    Cham

  • Event location

    Limassol

  • Event date

    Sep 25, 2023

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article