Integrated Computer Vision and Soft Computing System For Classifying The Pilling Resistance of Knitted Fabrics

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F46747885%3A24410%2F14%3A%230003699" target="_blank" >RIV/46747885:24410/14:#0003699 - isvavai.cz</a>

Výsledek na webu

<a href="http://www.fibtex.lodz.pl/2014/6/106.pdf" target="_blank" >http://www.fibtex.lodz.pl/2014/6/106.pdf</a>

DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Integrated Computer Vision and Soft Computing System For Classifying The Pilling Resistance of Knitted Fabrics

Popis výsledku v původním jazyce

Fabric pilling is one of the important properties that affect fabric appearance. The testing of fabric pilling using the standard methods available, however, depends on subjective sample evaluation. Objective fabric pilling evaluation using image processing techniques comprises four main stages that include binarisation, segmentation, quantisation, and classification. Literature on the topic focuses only on one or more of these stages while there is a growing need for an integrated system that combinesthe most effective techniques of each stage and introduces them in a way that does not depend on the subjective evaluation of human operators. This work tries to tackle this problem and creates an integrated system for classifying the pilling resistanceof knitted fabrics. The system introduced a new method for generating an image library based on photographs of the EMPA Standards to allow the training and testing of a soft-computing classifier. The method suggested was tested using knit

Název v anglickém jazyce

Integrated Computer Vision and Soft Computing System For Classifying The Pilling Resistance of Knitted Fabrics

Popis výsledku anglicky

Fabric pilling is one of the important properties that affect fabric appearance. The testing of fabric pilling using the standard methods available, however, depends on subjective sample evaluation. Objective fabric pilling evaluation using image processing techniques comprises four main stages that include binarisation, segmentation, quantisation, and classification. Literature on the topic focuses only on one or more of these stages while there is a growing need for an integrated system that combinesthe most effective techniques of each stage and introduces them in a way that does not depend on the subjective evaluation of human operators. This work tries to tackle this problem and creates an integrated system for classifying the pilling resistanceof knitted fabrics. The system introduced a new method for generating an image library based on photographs of the EMPA Standards to allow the training and testing of a soft-computing classifier. The method suggested was tested using knit

Druh

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

CEP obor

JS - Řízení spolehlivosti a kvality, zkušebnictví

OECD FORD obor

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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

2014

Kód důvěrnosti údajů

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

Název periodika

Fibres & Textiles in Eastern Europe

ISSN

1230-3666

e-ISSN

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Svazek periodika

22

Číslo periodika v rámci svazku

6

Stát vydavatele periodika

PL - Polská republika

Počet stran výsledku

7

Strana od-do

106-112

Kód UT WoS článku

000344433900016

EID výsledku v databázi Scopus

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