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Knoop Hardness Measurement Using Computer Vision

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F70883521%3A28110%2F10%3A63510067" target="_blank" >RIV/70883521:28110/10:63510067 - isvavai.cz</a>

  • Alternative codes found

    RIV/49777513:23520/10:43898392

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Knoop Hardness Measurement Using Computer Vision

  • Original language description

    Rapid increase of computational performance of personal computers has enabled employment of automatic hardness measurement in the last decade. It reduces the human factor in measurement and speeds up the measurement process. On the other hand, the automatic measurement often fails, when the specimen surface is not well prepared. Robust image processing algorithm is crucial for the automatic hardness measurement. The article introduces a combination of an advanced image processing technique called ActiveShape Modeling (ASM) and a sophisticated model estimation technique called Particle Filtering (PF). It enables measurement of rough polished specimens and minimizes the effect of specimen surface properties

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    JP - Industrial processes and processing

  • OECD FORD branch

Result continuities

  • Project

    <a href="/en/project/FR-TI1%2F487" target="_blank" >FR-TI1/487: Development of the hardness measurement system with focus on research of the new possibilities in the area of polymer properties analysis and its application in the market</a><br>

  • Continuities

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

Others

  • Publication year

    2010

  • 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 21st International DAAAM Symposium "Intelligent Manufacturing & Automation: Focus on Interdisciplinary Solutions"

  • ISBN

    978-3-901509-73-5

  • ISSN

  • e-ISSN

  • Number of pages

    2

  • Pages from-to

  • Publisher name

    DAAAM International Vienna

  • Place of publication

    Vienna

  • Event location

    Zadar, Croatia

  • Event date

    Jan 1, 2010

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article