RESTORATION OF TEXTILE YARN DISTORTED LOW-RESOLUTION MICRO COMPUTED TOMOGRAPHY CROSS SECTION IMAGES: A MATLAB RESTORATION ALGORITHM

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F46747885%3A24620%2F24%3A00012197" target="_blank" >RIV/46747885:24620/24:00012197 - isvavai.cz</a>

Result on the web

<a href="https://www.confer.cz/nanocon/2023/4809-restoration-of-textile-yarn-distorted-low-resolution-micro-computed-tomography-cross-section-images-a-matlab-restoration-algorithm" target="_blank" >https://www.confer.cz/nanocon/2023/4809-restoration-of-textile-yarn-distorted-low-resolution-micro-computed-tomography-cross-section-images-a-matlab-restoration-algorithm</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.37904/nanocon.2023.4809" target="_blank" >10.37904/nanocon.2023.4809</a>

Result language

angličtina

Original language name

RESTORATION OF TEXTILE YARN DISTORTED LOW-RESOLUTION MICRO COMPUTED TOMOGRAPHY CROSS SECTION IMAGES: A MATLAB RESTORATION ALGORITHM

Original language description

Textile yarn is a group of twisted fibers with diameters of a few micrometers, requiring a nano-resolution scanner to capture precise details of the single fibers perfectly to make a digital twine of the scanned yarn. Computed tomography (CT) technology can 3D digitally scan the sample and achieve a digital twin. The fine fibers‘ diameter requires a nano-CT to achieve a high-resolution yarn‘s digital twin; nano-CTs are more expensive than micro-CTs and require about eight times the scanning time compared to micro-CTs, which means more computational power to reconstruct and analyze the scanned objects. This paper introduces a systematic MATLAB algorithm to regenerate distorted yarn‘s micro-CT low-resolution cross-section images. The algorithm segments the distorted images‘ fibers, identifies them, and regenerates the clean, high-resolution fibers. The algorithm performance is compared to the optical microscopic cross-section image measurements using ImageJ. The results revealed that before processing, the mean fiber diameter measured 9.60 ± 0.78 µm, while post-processing it measured 10.33 ± 0.49 µm. Notably, the algorithm effectively decreased the dispersion of fiber diameters around the mean by 40%, maintaining a diameter close to the design diameter of the fibers of 10 µm.

Czech name

—

Czech description

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Type

D - Article in proceedings

CEP classification

—

OECD FORD branch

21001 - Nano-materials (production and properties)

Project

<a href="/en/project/TK03020219" target="_blank" >TK03020219: Sensor Materials and Systems for Distributed Condition Monitoring of Energy Cables</a><br>

Continuities

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

Publication year

2024

Confidentiality

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

Article name in the collection

NANOCON Conference Proceedings - International Conference on Nanomaterials

ISBN

978-808836515-0

ISSN

2694-930X

e-ISSN

—

Number of pages

6

Pages from-to

380-385

Publisher name

TANGER Ltd

Place of publication

Ostrava

Event location

Brno

Event date

Jan 1, 2023

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

001234125400060