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