A METHOD FOR MORE ACCURATE EVALUATION OF YARN PACKING DENSITY

Kód výsledku v IS VaVaI

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Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

A METHOD FOR MORE 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 atomization 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 fibersand the yarn which makes it more precise in determining the yarn packing density. A user friendly Graphical User Interface (GUI) was developed in the current work to read the images of the yarn cross-sections and utilize the CV algorithm

Název v anglickém jazyce

A METHOD FOR MORE 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 atomization 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 fibersand the yarn which makes it more precise in determining the yarn packing density. A user friendly Graphical User Interface (GUI) was developed in the current work to read the images of the yarn cross-sections and utilize the CV algorithm

Druh

O - Ostatní výsledky

CEP obor

JJ - Ostatní materiály

OECD FORD obor

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Projekt

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Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2014

Kód důvěrnosti údajů

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