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On the Stability of the k-Max Distance to the Position of Seeds

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F18%3A10241509" target="_blank" >RIV/61989100:27240/18:10241509 - isvavai.cz</a>

  • Result on the web

    <a href="https://ieeexplore.ieee.org/document/8451638" target="_blank" >https://ieeexplore.ieee.org/document/8451638</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1109/ICIP.2018.8451638" target="_blank" >10.1109/ICIP.2018.8451638</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    On the Stability of the k-Max Distance to the Position of Seeds

  • Original language description

    The position of seeds plays a key role in the quality of image segmentation, especially if the segmentation is based on computing the distances from the seeds. If the seeds placed in different positions lead to the stable segmentation result, it simplifies the user interaction. In this paper, we investigate how the k-max distance, which we introduced in [1], is stable, and how this stability influences the results of a distance-based image segmentation. We compare the results of the k-max distance with the classic geodesic distance, and with the minimum barrier distance. We note that the k-max distance seems to be a logical missing link between the max-arc distance (k = 1) and the geodesic distance (k -&gt; infinity).

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • 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

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2018

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    2018 25TH IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP)

  • ISBN

    978-1-4799-7061-2

  • ISSN

    1522-4880

  • e-ISSN

    2381-8549

  • Number of pages

    5

  • Pages from-to

    261-265

  • Publisher name

    IEEE

  • Place of publication

    NEW YORK

  • Event location

    Athens

  • Event date

    Oct 7, 2018

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article

    000455181500053