Quality control of textile products is an important stage in textile industries. To this end, the conventional method in fault detection is human inspection. In the present work, Wavelet transform was applied on images of simple circular knitted fabrics to diagnose five regular defects. The results showed that the method applied was accurate and fast in addition to being capable of determining fault position and dimensions. Therefore, the Wavelet transform method is suitable for online fault detection
M. Latifi, , M. Amani, , & S. M. Etrati and A. H. Sadri, (2022). Fault Detection of Plain Circular Knitted Fabrics Using Wavelet Transform. Journal of Advanced Materials in Engineering (Esteghlal), 23(1), 221-227.
MLA
M. Latifi; M. Amani; S. M. Etrati and A. H. Sadri. "Fault Detection of Plain Circular Knitted Fabrics Using Wavelet Transform", Journal of Advanced Materials in Engineering (Esteghlal), 23, 1, 2022, 221-227.
HARVARD
M. Latifi, , M. Amani, , S. M. Etrati and A. H. Sadri, (2022). 'Fault Detection of Plain Circular Knitted Fabrics Using Wavelet Transform', Journal of Advanced Materials in Engineering (Esteghlal), 23(1), pp. 221-227.
VANCOUVER
M. Latifi, , M. Amani, , S. M. Etrati and A. H. Sadri, Fault Detection of Plain Circular Knitted Fabrics Using Wavelet Transform. Journal of Advanced Materials in Engineering (Esteghlal), 2022; 23(1): 221-227.
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