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  • 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)
    Behtaj, Sanaz
    Year published
    2013
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    Abstract
    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 ...
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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 obtained signal extracted from fabric images and the measured roughness by KES surface tester.
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    Journal Title
    Indian Journal of Fibre & Textile Research (IJFTR)
    Volume
    38
    Issue
    1
    Publisher URI
    http://nopr.niscair.res.in/handle/123456789/16376
    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
    Publication URI
    http://hdl.handle.net/10072/412353
    Collection
    • Journal articles

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