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
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DOI - Digital Object Identifier
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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
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Czech description
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Classification
Type
O - Miscellaneous
CEP classification
JI - Composite materials
OECD FORD branch
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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