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Performance of an objective fabric pilling evaluation method
journal contribution
posted on 2010-10-01, 00:00 authored by Junmin Zhang, Xungai Wang, Stuart PalmerIn previous work, we established the principle of objective fabric pilling evaluation based on two-dimensional dual-tree complex wavelet transform (2DDTCWT) image reconstruction and non-linear classification using a neural network. This proof-of-principle work was performed using standard pilling test images. Here, we demonstrate the practical operation of the objective pilling evaluation method using a large set of real fabric pilling samples. We show that piling classification results from a trained multiple-layer perceptron neural network achieve a regression correlation of approximately 96% with the corresponding human expert pilling ratings.
History
Journal
Textile research journalVolume
80Issue
16Pagination
1648 - 1657Publisher
Sage PublicationsLocation
London, EnglandPublisher DOI
ISSN
0040-5175eISSN
1746-7748Language
engPublication classification
C1 Refereed article in a scholarly journalCopyright notice
2010, Sage PublicationsUsage metrics
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