DocumentCode :
724038
Title :
The study of detect the density of knitted fabric online based on the image
Author :
Zhang Xiaochao ; Li Ping ; Jin Fujiang
Author_Institution :
Huaqiao Univ., Xiamen, China
fYear :
2015
fDate :
23-25 May 2015
Firstpage :
1321
Lastpage :
1326
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.
Keywords :
Internet; fabrics; image processing; production engineering computing; textile industry; woven composites; yarn; dynamic binarization algorithms; knitted fabric online density control; vertical coils; yarns; Coils; Density measurement; Fabrics; Geometry; Heuristic algorithms; Shape; Yarn; dynamic binarization algorithms; the detection for density of knitted fabric; the extraction of yarns; the geometric transformations for the coils;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control and Decision Conference (CCDC), 2015 27th Chinese
Conference_Location :
Qingdao
Print_ISBN :
978-1-4799-7016-2
Type :
conf
DOI :
10.1109/CCDC.2015.7162123
Filename :
7162123
Link To Document :
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