NDLI: The Automating Detecting of Stitch Distortion in Knitted Fabric by Image Processing Technology

Content Provider	IEEE Xplore Digital Library
Author	Yue-wu Zhou Guang-Li Song Ming Fang
Copyright Year	2011
Abstract	The stitch distortion of knitted fabric is an important parameter for the fabric detecting and it is measured manually at present. The paper discusses how to process knitted fabric image and obtain the stitch distortion angle automatically using image processing technology. By rotational property of Fourier transform, i.e. if a function f(x, e) of the image turns an angle e in the space domain, the Fourier transform of the function would turn a same angle in the transform frequency domain, that is, if the angle between stitch row and course in a knitted fabric image is e, the angle between the lines of their feature points in their transform frequency domain is also the same, an automatic detecting system was established and the angle of stitch distortion was been obtained automatically. Through examination verifying, the detecting result is credible and the automatic detecting of the stitch distortion is realized.
Starting Page	1
Ending Page	3
File Size	493679
Page Count	3
File Format	PDF
ISBN	9781457708596
e-ISBN	9781457708602
DOI	10.1109/ICCASE.2011.5997850
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-07-30
Publisher Place	Singapore
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Fourier transforms Manuals Feature extraction Fabrics Distortion measurement Frequency domain analysis
Content Type	Text
Resource Type	Article

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