S-Space College of Engineering/Engineering Practice School (공과대학/대학원) Dept. of Material Science and Engineering (재료공학부) Journal Papers (저널논문_재료공학부)
Fabric Surface Roughness Evaluation using Wavelet-Fractal Method
- KIM, SOO CHANG; KANG, TAE JIN
- Issue Date
- SAGE Publications
- Textile Res. J. 75(11), 761-770
- 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.
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