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Comparison study of image segmentation techniques by curvature-driven flow of graphs

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21340%2F21%3A00357650" target="_blank" >RIV/68407700:21340/21:00357650 - isvavai.cz</a>

  • Result on the web

    <a href="https://doi.org/10.14495/jsiaml.13.48" target="_blank" >https://doi.org/10.14495/jsiaml.13.48</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.14495/jsiaml.13.48" target="_blank" >10.14495/jsiaml.13.48</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Comparison study of image segmentation techniques by curvature-driven flow of graphs

  • Original language description

    In this paper, we deal with image segmentation by a curvature-driven flow of graphs. We focus on images, where the segmented objects can be represented by 1D graphs of functions. Compared to the usual direct approach, such a description benefits from certain advantages. Three methods to image segmentation are discussed and applied in terms of the graph formulation. Then, all methods are compared in the qualitative computational study.

  • 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

    10102 - Applied mathematics

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2021

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    JSIAM Letters

  • ISSN

    1883-0609

  • e-ISSN

  • Volume of the periodical

    13

  • Issue of the periodical within the volume

    -

  • Country of publishing house

    JP - JAPAN

  • Number of pages

    4

  • Pages from-to

    48-51

  • UT code for WoS article

    000697726200001

  • EID of the result in the Scopus database