NDLI: The study of detect the density of knitted fabric online based on the image

Content Provider	IEEE Xplore Digital Library
Author	Zhang Xiaochao Li Ping Jin Fujiang
Copyright Year	2015
Description	Author affiliation: Huaqiao Univ., Xiamen, China (Zhang Xiaochao; Li Ping; Jin Fujiang)
Abstract	The measurement to the density of knitted fabric by person was time-consuming and discontinuous, which cannot satisfy the demand for controlling the density of knitted fabric online. In the paper, the method to detect the density of knitted fabric online based on the image is put forward. The image of knitted fabrics was dealt with the method of dynamic binarization algorithms. The yarns which can represent the vertical coils of knitted fabrics are extracted base on the texture of knitted fabrics; the number of yarns in the image can be counted. Then the coils are transformed to be regular geometry based on its shapes and get the number of coils. The density of knitted fabric can be calculated based on these data. At last, the result of experiments shows that this method is effective.
Starting Page	1321
Ending Page	1326
File Size	636378
Page Count	6
File Format	PDF
e-ISBN	9781479970179
DOI	10.1109/CCDC.2015.7162123
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-05-23
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Coils Geometry the extraction of yarns Density measurement Shape Heuristic algorithms the geometric transformations for the coils dynamic binarization algorithms Fabrics the detection for density of knitted fabric Yarn
Content Type	Text
Resource Type	Article

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