Evaluation of fabric pilling as an end-use quality and a performance measure for the fabrics

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F46747885%3A24410%2F17%3A00004281" target="_blank" >RIV/46747885:24410/17:00004281 - isvavai.cz</a>

Result on the web

<a href="http://www.sciencedirect.com/science/article/pii/B9780081012178000075" target="_blank" >http://www.sciencedirect.com/science/article/pii/B9780081012178000075</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1016/B978-0-08-101217-8.00007-5" target="_blank" >10.1016/B978-0-08-101217-8.00007-5</a>

Result language

angličtina

Original language name

Evaluation of fabric pilling as an end-use quality and a performance measure for the fabrics

Original language description

© 2018 Elsevier Ltd. All rights reserved. Fabric pilling is considered a performance and esthetic property of the fabrics and determines its quality. Nevertheless, the subjective evaluation of the fabric pilling results in misleading values that depend on the measurement standard even for the same sample. This extensively reviews the methods used in the literature to quantify the fabric pilling, then utilizes some of the nonused textural features extracted from the fabric's images to obtain better representative and quantitative values of the fabric's surface. The algorithms for creating the features datasets for training and testing the soft-computing classifiers were described where random noise was added to the limited number of fabric's pilling standard images. The theoretical background for using fuzzy logic and its working mechanism when implemented in the adaptive neuro-fuzzy system (ANFIS) was explained in this chapter, then the practical applications for an objective pilling classification (PC) of woven fabric samples were performed using ANFIS and for knitted samples were performed using the artificial neural network. The soft-computing classifiers showed an ability to classify the noised standard images as well as actual fabric samples with a classification rate that shows high correlation coefficients when compared with the classification grades of the human operators. Results showed high efficiency of the system that is independent on the different fabric structure or color, which suggests its availability to replace the currently applied subjective pilling evaluation.

Czech name

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Czech description

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Type

C - Chapter in a specialist book

CEP classification

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OECD FORD branch

20503 - Textiles; including synthetic dyes, colours, fibres (nanoscale materials to be 2.10; biomaterials to be 2.9)

Project

<a href="/en/project/LO1201" target="_blank" >LO1201: DEVELOPMENT OF THE INSTITUTE FOR NANOMATERIALS, ADVANCED TECHNOLOGIES AND INNOVATION</a><br>

Continuities

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

Publication year

2017

Confidentiality

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

Book/collection name

Applications of Computer Vision in Fashion and Textiles

ISBN

978-0-08-101217-8

Number of pages of the result

41

Pages from-to

147-187

Number of pages of the book

302

Publisher name

Woodhead Publishing

Place of publication

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UT code for WoS chapter

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