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MATLAB Algorithms for Diameter Measurements of Textile Yarns and Fibers through Image Processing Techniques

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F46747885%3A24620%2F22%3A00009317" target="_blank" >RIV/46747885:24620/22:00009317 - isvavai.cz</a>

  • Result on the web

    <a href="https://www.mdpi.com/1996-1944/15/4/1299" target="_blank" >https://www.mdpi.com/1996-1944/15/4/1299</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.3390/ma15041299" target="_blank" >10.3390/ma15041299</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    MATLAB Algorithms for Diameter Measurements of Textile Yarns and Fibers through Image Processing Techniques

  • Original language description

    Textile yarns are the fundamental building blocks in the fabric industry. The measurement of the diameter of the yarn textile and fibers is crucial in textile engineering as the diameter size and distribution can affect the yarn’s properties, and image processing can provide automatic techniques for faster and more accurate determination of the diameters. In this paper, facile and new methods to measure the yarn’s diameter and its individual fibers diameter based on image processing algorithms that can be applied to microscopic digital images. Image preprocessing such as binarization and morphological operations on the yarn image were used to measure the diameter automatically and accurately compared to the manual measuring using ImageJ software. In addition to the image preprocessing, the circular Hough transform was used to measure the diameter of the individual fibers in a yarn’s cross-section and count the number of fibers. The algorithms were built and deployed in a MATLAB (R2020b, The MathWorks, Inc., Natick, Massachusetts, United States) environment. The proposed methods showed a reliable, fast, and accurate measurement compared to other different image measuring softwares, such as ImageJ.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    20500 - Materials engineering

Result continuities

  • Project

    <a href="/en/project/LTAUSA18135" target="_blank" >LTAUSA18135: Micro-structural imaging as a Tool for modelinG fibrOus materiALS (μ-CT GOALS)</a><br>

  • Continuities

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

Others

  • Publication year

    2022

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    Materials

  • ISSN

    1996-1944

  • e-ISSN

  • Volume of the periodical

    15

  • Issue of the periodical within the volume

    4

  • Country of publishing house

    CH - SWITZERLAND

  • Number of pages

    10

  • Pages from-to

  • UT code for WoS article

    000762757000001

  • EID of the result in the Scopus database

    2-s2.0-85124695333