Chan-Vese Segmentation Model For Faster And Accurate Evaluation of Yarn Packing Density

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F46747885%3A24410%2F16%3A00003595" target="_blank" >RIV/46747885:24410/16:00003595 - isvavai.cz</a>

Výsledek na webu

<a href="http://journals.sagepub.com/doi/abs/10.1177/0040517514557314" target="_blank" >http://journals.sagepub.com/doi/abs/10.1177/0040517514557314</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1177/0040517514557314" target="_blank" >10.1177/0040517514557314</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Chan-Vese Segmentation Model For Faster And Accurate Evaluation of Yarn Packing Density

Popis výsledku v původním jazyce

Yarn packing density is an important parameter in correlating the internal structure of the yarn to its final properties and performance. The current methods of determining the yarn packing density have three main drawbacks: they are labor dependent, they are time consuming, and they approximate many parameters of the fibers and the yarn. The current work utilizes the Chan-Vese (CV) segmentation model to detect the actual contours of the yarn and the fibers inside its cross-section. This algorithm allows the automation of the process which reduces the time required for the analysis and makes it independent from the human element. The method also avoids the approximations involved in the traditional methods by calculating the actual areas of the fibers and the yarn which makes it more precise in determining the yarn packing density. A user-friendly graphical user interface (GUI) was developed to utilize the CV algorithm and calculate different yarn parameters such as the yarn's radial packing density, the yarn's effective diameter, and the yarn's effective packing density. The area ratio factor (ARF) was used as a quick indicator of the accuracy of fiber segmentation. The CV algorithm was described in detail and tested with ring-spun yarns from different materials and the results were found to be in agreement with the reported values of such yarns. The introduced method can be extended to the evaluation of fibrous materials other than yarns.

Název v anglickém jazyce

Chan-Vese Segmentation Model For Faster And Accurate Evaluation of Yarn Packing Density

Popis výsledku anglicky

Yarn packing density is an important parameter in correlating the internal structure of the yarn to its final properties and performance. The current methods of determining the yarn packing density have three main drawbacks: they are labor dependent, they are time consuming, and they approximate many parameters of the fibers and the yarn. The current work utilizes the Chan-Vese (CV) segmentation model to detect the actual contours of the yarn and the fibers inside its cross-section. This algorithm allows the automation of the process which reduces the time required for the analysis and makes it independent from the human element. The method also avoids the approximations involved in the traditional methods by calculating the actual areas of the fibers and the yarn which makes it more precise in determining the yarn packing density. A user-friendly graphical user interface (GUI) was developed to utilize the CV algorithm and calculate different yarn parameters such as the yarn's radial packing density, the yarn's effective diameter, and the yarn's effective packing density. The area ratio factor (ARF) was used as a quick indicator of the accuracy of fiber segmentation. The CV algorithm was described in detail and tested with ring-spun yarns from different materials and the results were found to be in agreement with the reported values of such yarns. The introduced method can be extended to the evaluation of fibrous materials other than yarns.

Druh

J_x - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)

CEP obor

JJ - Ostatní materiály

OECD FORD obor

—

Projekt

<a href="/cs/project/EE2.3.30.0065" target="_blank" >EE2.3.30.0065: Podpora tvorby excelentních výzkumných a vývojových týmů na Technické univerzitě v Liberci</a><br>

Návaznosti

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

Rok uplatnění

2016

Kód důvěrnosti údajů

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

Název periodika

Textile Research Journal

ISSN

0040-5175

e-ISSN

—

Svazek periodika

86

Číslo periodika v rámci svazku

2

Stát vydavatele periodika

GB - Spojené království Velké Británie a Severního Irska

Počet stran výsledku

11

Strana od-do

167-177

Kód UT WoS článku

000369996000006

EID výsledku v databázi Scopus

2-s2.0-84955490577