Journal of Textile Research ›› 2021, Vol. 42 ›› Issue (06): 91-96.doi: 10.13475/j.fzxb.20201105806

• Textile Engineering • Previous Articles     Next Articles

On-line detection of warp collision and reed embedding based on improved inter-frame difference method

XIA Xuwen, MENG Shuo, PAN Ruru(), GAO Weidong   

  1. Key Laboratory of Eco-Textiles (Jiangnan University), Ministry of Education, Wuxi, Jiangsu 214122, China
  • Received:2020-11-30 Revised:2021-03-14 Online:2021-06-15 Published:2021-06-28
  • Contact: PAN Ruru E-mail:prrsw@163.com

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Abstract:

In order to monitor the warp bumping phenomenon in the warp sizing process, a real-time automatic detection system for warp reed collision of the sizing machine based on machine vision was developed. The complete image of warp yarn passing through the reed was captured through the developed image acquisition system. The initial image was cropped to obtain the detection area, and before the image through Gaussian filtering was smoothed to reduce the level of image details. Then, the inter-frame difference was enlarged, and the Canny edge algorithm and expanded mathematical morphology operation were added to complete the improvement of the inter-frame difference method. Recognition and tracking of the warp yarn collision and reed holding of the sizing machine were achieved by the improved inter-frame difference method. The experimental results show that the developed detection system can accurately identify the warp in the sizing machine and track the reed-holding yarn, fulfilling the real-time detection function, which can guide the actual production.

Key words: reed detection, image processing, frame difference method, gaussian filter, morphological operations

CLC Number: 

  • TS111.8

Fig.1

Image acquisition system. (a) Schematic diagram of image acquisition system; (b) Monitoring equipment module"

Fig.2

Part of collected warp images. (a) Warp passes through reed normally; (b) warp yarn collides with reed"

Fig.3

Cropped image"

Fig.4

Image smoothing effect comparison. (a) Grayscale image; (b) Gaussian smooth image"

Fig.5

Schematic diagram of traditional inter-frame difference method"

Fig.6

Schematic diagram of improved inter-frame difference method"

Tab.1

Accuracy of collision reed detection at frame difference and vehicle speed"

车速/(m·min-1) 帧间差t/帧 准确率/%
20 14.40
30 16.52
40 21.34
10 50 24.51
60 28.89
80 37.34
100 40.97
20 30.01
30 40.87
40 53.18
30 50 59.08
60 64.51
80 75.43
100 79.17
20 45.04
30 60.72
40 68.37
50 50 77.07
60 82.17
80 88.68
100 89.75
20 46.63
30 69.08
40 70.54
70 50 84.02
60 87.07
80 90.89
100 91.34

Fig.7

Differential image and binarized image under different frame differences"

Fig.8

Average false detection rate and response time under different threshold δ "

Fig.9

Average response time of system at different vehicle speeds"

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