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Perimeter in material images: Comparison of continuous representation and global stereological estimation methods

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60076658%3A12310%2F09%3A00011380" target="_blank" >RIV/60076658:12310/09:00011380 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Perimeter in material images: Comparison of continuous representation and global stereological estimation methods

  • Original language description

    A set of objects in a material structure is typically represented by a binary digital image. Two methods of estimation of the perimeter of objects are discussed: 1. "Searching for reality": a continuous regression representation of the borders between objects and background is estimated, from which the desired characteristic is computed. 2. Stereological solution: easily measurable qualities of the digital set are measured, from which the desired characteristics are estimated on the basis of a known global formula. Both approaches are compared in an application on sets of digital images representing original patterns with successively lowered resolution. (C) 2009 Elsevier Inc. All rights reserved.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    BA - General mathematics

  • OECD FORD branch

Result continuities

  • Project

    <a href="/en/project/KJB101420801" target="_blank" >KJB101420801: Construction of Statistical Tests in Spatial Statistics</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2009

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    Materials Characterization

  • ISBN

  • ISSN

    1044-5803

  • e-ISSN

  • Number of pages

    6

  • Pages from-to

  • Publisher name

    Elsevier Science Inc

  • Place of publication

    New York

  • Event location

    Zakopane, Poland

  • Event date

    Jan 1, 2008

  • Type of event by nationality

    EUR - Evropská akce

  • UT code for WoS article

    000271368200011