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Scale invariants from Gaussian-Hermite moments

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985556%3A_____%2F17%3A00466031" target="_blank" >RIV/67985556:_____/17:00466031 - isvavai.cz</a>

  • Alternative codes found

    RIV/68407700:21340/17:00303216

  • Result on the web

    <a href="http://dx.doi.org/10.1016/j.sigpro.2016.09.013" target="_blank" >http://dx.doi.org/10.1016/j.sigpro.2016.09.013</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1016/j.sigpro.2016.09.013" target="_blank" >10.1016/j.sigpro.2016.09.013</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Scale invariants from Gaussian-Hermite moments

  • Original language description

    Invariants to image scaling composed of Gaussian–Hermite moments are introduced in this paper for the first time. To achieve the invariance, we propose to modulate the Gaussian–Hermite polynomial basis using variable parameter σ, the value of which depends on the input image. The scaling invariance property can be coupled with the rotation invariance presented earlier. This approach is applicable in 2D as well as in 3D and provides very good numerical stability, as demonstrated by several experiments on real data.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Result continuities

  • Project

    <a href="/en/project/GA15-16928S" target="_blank" >GA15-16928S: Invariants and adaptive representations of digital images</a><br>

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2017

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    Signal Processing

  • ISSN

    0165-1684

  • e-ISSN

  • Volume of the periodical

    132

  • Issue of the periodical within the volume

    1

  • Country of publishing house

    NL - THE KINGDOM OF THE NETHERLANDS

  • Number of pages

    8

  • Pages from-to

    77-84

  • UT code for WoS article

    000389294600008

  • EID of the result in the Scopus database

    2-s2.0-84992186930