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Algorithm for Visual Fiber Detection from Composite Cross-Section

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F16%3A43929804" target="_blank" >RIV/49777513:23520/16:43929804 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Algorithm for Visual Fiber Detection from Composite Cross-Section

  • Original language description

    This work is focused on analyzing fiber distribution in composite material cross-section. An application for obtaining the so-called ground truth data and an algorithm for automatic fiber detection are proposed in Python with the use of OpenCV. Results are compared by histograms depicting the fiber radii distribution and are required for modelling unidirectional long-fiber composite materials on microscopic scale.

  • Czech name

  • Czech description

Classification

  • Type

    O - Miscellaneous

  • CEP classification

    JI - Composite materials

  • OECD FORD branch

Result continuities

  • Project

    <a href="/en/project/LO1506" target="_blank" >LO1506: Sustainability support of the centre NTIS - New Technologies for the Information Society</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2016

  • Confidentiality

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