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Surface Roughness Measurement of Weft Knitted Fabrics Using Image Processing

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This paper focuses on measuring the roughness of knitted fabrics using a non-contact method. Research on objectifying the handle of textile fabrics is a very important factor in textile and garment manufacturing and retailing industries. Fabric handle is influenced by mechanical and surface properties. The KES-F system is a standard objectified method among different measurement methods. However, the KES-F system is time-consuming, and the translation of the data measured is difficult. In addition, the KES-F method as a contact-method is more easily affected by environmental conditions, such as moisture, and is not suitable as an on-line system in the manufacturing process. Hence the surface roughness of knitted fabrics without any deformation was measured by a non-contact method using a high resolution scanner. The data was controlled on a computer by using MATLAB software to obtain the roughness index. The results were compared with the surface characteristic values (SMD) measured by the KES-F system. The findings show a good correlation between fabric roughness values measured by the two different methods. Moreover, a negative correlation coefficient shows that the roughness value measured by Kawabata changes reversely proportional to those measured by the image processing method. Finally, the non-contact measurement of fabric roughness using a high resolution scanner is useful for the description of fabric roughness.

Tags: image processing, the KES method, non-contact method, surface properties, weft knitted fabric, roughness.

Citation: Semnani D., Hasani H., Behtaj S., Ghorbani E.; Surface Roughness Measurement of Weft Knitted Fabrics Using Image Processing. FIBRES & TEXTILES in Eastern Europe 2011, Vol. 19, No. 3 (86) pp. 55-59.

Published in issue no 3 (86) / 2011, pages 55–59.

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