Measuring the roughness of knitted fabrics by analysis of surface signals obtained from image processing

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Author(s)
Hasani, Hossein
Behtaz, Sanaz
Griffith University Author(s)
Year published
2013
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The present study focuses on the evaluation of weft knitted fabric roughness using image processing. Various knitted fabric samples have been produced using flat and circular knitting machines. The SMD value of fabrics which refers to surface roughness has been measured by Kawabata surface tester. Images of samples have been taken by a high resolution scanner, converted to grayscale image and then been processed by Matlab; a signal is obtained from each sample. Six different features have been extracted from the signals. The results of correlation test reveal that there is a good correlation between the wave lengths of ...
View more >The present study focuses on the evaluation of weft knitted fabric roughness using image processing. Various knitted fabric samples have been produced using flat and circular knitting machines. The SMD value of fabrics which refers to surface roughness has been measured by Kawabata surface tester. Images of samples have been taken by a high resolution scanner, converted to grayscale image and then been processed by Matlab; a signal is obtained from each sample. Six different features have been extracted from the signals. The results of correlation test reveal that there is a good correlation between the wave lengths of obtained signal extracted from fabric images and the measured roughness by KES surface tester.
View less >
View more >The present study focuses on the evaluation of weft knitted fabric roughness using image processing. Various knitted fabric samples have been produced using flat and circular knitting machines. The SMD value of fabrics which refers to surface roughness has been measured by Kawabata surface tester. Images of samples have been taken by a high resolution scanner, converted to grayscale image and then been processed by Matlab; a signal is obtained from each sample. Six different features have been extracted from the signals. The results of correlation test reveal that there is a good correlation between the wave lengths of obtained signal extracted from fabric images and the measured roughness by KES surface tester.
View less >
Journal Title
Indian Journal of Fibre & Textile Research (IJFTR)
Volume
38
Issue
1
Publisher URI
Copyright Statement
© The Author(s) 2013. This is an Open Access article distributed under the terms of the Creative Commons Attribution-Noncommercial-No Derivative Works 2.5 India License, which permits unrestricted, non-commercial use, distribution and reproduction in any medium, providing that the work is properly cited.
Subject
Science & Technology
Materials Science, Textiles
Image processing