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Fabric Surface Roughness Evaluation using Wavelet-Fractal Method

Cited 39 time in Web of Science Cited 43 time in Scopus
Authors
KIM, SOO CHANG; KANG, TAE JIN
Issue Date
2005-11-13
Publisher
SAGE Publications
Citation
Textile Res. J. 75(11), 761-770
Abstract
An objective and reliable evaluation method of fabric pilling using a three-dimensional
scanning system with higher accuracy is presented. The overall fabric surface roughness together with the pilling characteristics were evaluated to comprehensively understand the fabric pilling phenomena and exactly grade the degree of pilling. The fractal dimension
calculated by the wavelet-fractal method and the surface average mean curvature were used
as descriptors of fabric surface roughness. Localization and characterization of pills was achieved by wavelet reconstruction. The number, area, and population density of pills were extracted as the parameters of pilling characteristics. In order to select features and then reduce dimensions, a Karhunen–Loève (K–L) transform was employed. Bayes, minimum
distance, k-nearest neighbors, and neural network classifiers were used to classify the fabric pilling into objective grades. The experimental results demonstrated that the fabric pilling evaluation system developed in this study represented both the fabric surface properties and the pilling properties and also showed high accuracy in grading the degree of pilling.
ISSN
0040-5175
Language
English
URI
https://hdl.handle.net/10371/11958
DOI
https://doi.org/10.1177/0040517505058855
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College of Engineering/Engineering Practice School (공과대학/대학원)Dept. of Material Science and Engineering (재료공학부) Journal Papers (저널논문_재료공학부)
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