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Performance of an objective fabric pilling evaluation method

Version 2 2024-06-05, 00:37
Version 1 2014-10-28, 09:06
journal contribution
posted on 2024-06-05, 00:37 authored by J Zhang, X Wang, S Palmer
In 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 journal

Volume

80

Pagination

1648-1657

Location

London, England

ISSN

0040-5175

eISSN

1746-7748

Language

eng

Publication classification

C1 Refereed article in a scholarly journal

Copyright notice

2010, Sage Publications

Issue

16

Publisher

Sage Publications