New methods for objective evaluation of fabric pilling by frequency domain image processing
Data(s) |
01/01/2009
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Resumo |
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.<br /><br />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.<br /> |
Identificador | |
Idioma(s) |
eng |
Publicador |
Hong Kong Institution of Textile and Apparel |
Relação |
http://dro.deakin.edu.au/eserv/DU:30021484/wang-newmethodsfor-2009.pdf http://www.rjta.org/download.php?paper=1 |
Direitos |
2009, Hong Kong Institution of Textile and Apparel |
Palavras-Chave | #pilling #objective evaluation #discrete wavelet transform #image processing #fibre science |
Tipo |
Journal Article |