Journal of Textile Research ›› 2019, Vol. 40 ›› Issue (01): 147-152.doi: 10.13475/j.fzxb.20180302306

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Yarn packages hairiness detection based on machine vision

JING Junfeng(), GUO Gen   

  1. School of Electronics and Information, Xi'an Polytechnic University, Xi'an, Shaanxi 710048, China
  • Received:2018-03-12 Revised:2018-07-19 Online:2019-01-15 Published:2019-01-18

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Abstract:

In order to realize the automatic detection of the hairiness of yarn packages, a method for detecting the hairiness of yarn packages based on machine vision was proposed. Firstly, the convolution kernel was constructed, and the hairiness characteristics were obtained by convolving the original image with the convolution kernel, and binarization was performed using threshold processing. Secondly, the contours of the binarized hairiness were detected, and then the contour points were screened to reduce the computing time. Finally, the unidirectional convex hull detection was applied to the outline points which meet the screening conditions, and then the hairiness of the yarn packages was located and counted. Three kinds of typical yarn packages were used to verify the method. The experimental results show that the method can position and count the hairiness number of the yarn packages accurately, and has strong adaptability to the hairiness images of different backgrounds.

Key words: yarn package hairiness, convex hull detection, convolution operation, contour detection, machine vision

CLC Number: 

  • TP391.4

Fig.1

Image acquisition system"

Fig.2

Detection process"

Fig.3

Unidirectional convex hull detection method"

Fig.4

Comparison of hairiness segmentation."

Fig.5

Results of hairiness detection."

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