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Low Level Statistical Models for Initialization of Interactive 2D/3D Segmentation Algorithms

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F15%3A10319895" target="_blank" >RIV/00216208:11320/15:10319895 - isvavai.cz</a>

  • Result on the web

    <a href="http://www.scitepress.org/DigitalLibrary/PublicationsDetail.aspx?ID=YSVLbc/7Q6Y=&t=1" target="_blank" >http://www.scitepress.org/DigitalLibrary/PublicationsDetail.aspx?ID=YSVLbc/7Q6Y=&t=1</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.5220/0005361506860692" target="_blank" >10.5220/0005361506860692</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Low Level Statistical Models for Initialization of Interactive 2D/3D Segmentation Algorithms

  • Original language description

    In this paper we present two models which are suitable for interactive segmentation algorithms to decrease amount of user work. Models are used during initialization step and do not increase complexity of segmentation algorithms. Model describe spatial distribution of image values and classification as either foreground or background. Second part of the model is vector field which constrains direction of boundary normals. We show how to use these models in parametric snakes/surfaces framework and minimal graph-cut based segmentation.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    IN - Informatics

  • OECD FORD branch

Result continuities

  • Project

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2015

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    Proceedings of the 10th International Conference on Computer Vision Theory and Applications (VISIGRAPP 2015)

  • ISBN

    978-989-758-089-5

  • ISSN

  • e-ISSN

  • Number of pages

    7

  • Pages from-to

    686-692

  • Publisher name

    SciTePress

  • Place of publication

    Portugal

  • Event location

    Berlín, Německo

  • Event date

    Mar 11, 2015

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article