Deakin University
Browse
wang-newmethodsfor-2009.pdf (361.4 kB)

New methods for objective evaluation of fabric pilling by frequency domain image processing

Download (361.4 kB)
journal contribution
posted on 2009-01-01, 00:00 authored by Stuart Palmer, Junmin Zhang, Xungai Wang
Fabric pilling is a serious problem for the apparel industry. Resistance to pilling is normally tested by simulated accelerated wear and manual assessment of degree of pilling based on a visual comparison of the sample to a set of test images. A number of automated systems based on image analysis have been developed. The authors propose new methods of image analysis based on the two-dimensional wavelet transform to objectively measure the pilling intensity in sample images. Initial work employed the detail coefficients of the two-dimensional discrete wavelet transform (2DDWT) as a measure of the pilling intensity of woven/knitted fabrics.

This method is shown to be robust to image translation and brightness variation. Using the approximation coefficients of the 2DDWT, the method is extended to non-woven pilling image sets. Wavelet texture analysis (WTA) combined with principal components analysis are shown to produce a richer texture description of pilling for analysis and classification. Finally, employing the two-dimensional dual-tree complex wavelet transform as the basis for the WTA feature vector is shown to produce good automated classification on a range of standard pilling image sets.

History

Journal

Research journal of textile and apparel

Volume

13

Issue

1

Pagination

11 - 23

Publisher

Hong Kong Institution of Textile and Apparel

Location

Hong Kong

ISSN

1560-6074

Language

eng

Publication classification

C1 Refereed article in a scholarly journal

Copyright notice

2009, Hong Kong Institution of Textile and Apparel

Usage metrics

    Research Publications

    Categories

    No categories selected

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC