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New methods for objective evaluation of fabric pilling by frequency domain image processing
| Content Provider | Semantic Scholar |
|---|---|
| Author | Palmer, Stuart Zhang, Junmin Wang, Xungai |
| Copyright Year | 2009 |
| Abstract | 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. |
| Starting Page | 11 |
| Ending Page | 23 |
| Page Count | 13 |
| File Format | PDF HTM / HTML |
| DOI | 10.1108/RJTA-13-01-2009-B002 |
| Volume Number | 13 |
| Alternate Webpage(s) | http://dro.deakin.edu.au/eserv/DU:30021484/wang-newmethodsfor-2009.pdf |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
