Journal of Textile Research ›› 2020, Vol. 41 ›› Issue (05): 45-49.doi: 10.13475/j.fzxb.20190704106

• Textile Engineering • Previous Articles     Next Articles

Yarn evenness measurement based on sub-pixel edge detection

ZHANG Huanhuan, ZHAO Yan, JING Junfeng, LI Pengfei   

  1. School of Electronic and Information, Xi'an Polytechnic University, Xi'an, Shaanxi 710048, China
  • Received:2019-07-15 Revised:2020-01-17 Online:2020-05-15 Published:2020-06-02

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Abstract:

In order to evaluate accurately yarn evenness, a yarn evenness measurement method based on sub-pixel edge detection was proposed. In this process, a yarn image was acquired firstly by using an image acquisition device, after that yarn edge points were acquired by sub-pixel edge detection of yarn image. Then, the yarn edge points were processed by the mathematical opening operation, and yarn evenness edges were obtained. Consequently, the average yarn diameter and evenness CV value were calculated by using the coordinate histogram method. In order to verify the validity and accuracy of the method, cotton yarns with different linear densities were tested, and the test results were compared with the results of uniformity test using the capacitive evenness tester and with the test results obtained by using the fuzzy C-means algorithm and Otsu image method. The results of the comparisons show that the yarn evenness measurement method based on sub-pixel edge detection is in good agreement with the capacitance measurement results, which proves that the proposed method can obtain accurate results.

Key words: yarn evenness, uniformity, subpixel edge detection, yarn quality evaluation, CV value

CLC Number: 

  • TP391.4

Fig.1

Yarn collection device"

Fig.2

Yarn original image"

Fig.3

Algorithm block diagram"

Fig.4

Initial situation (a) and ambiguous unit pixels (b)"

Fig.5

Second-order sub-pixel edge detection schematic"

Fig.6

Two-dimensional edge point set extraction process. (a) Yarn edge; (b) Two-dimensional edge point set"

Fig.7

Yarn evenness extraction process. (a) Corrosion; (b) Expansion; (c) Open operation"

Fig.8

Yarn evenness transverse slitting process. (a) Horizontal segmentation; (b) Segmented images"

Tab.1

Comparison of CV values of different coordinate points extracted horizontally%"

纱线线
密度/tex		 条干仪
检测		 本文算法
5个 10个 20个 50个
27.8 12.60 11.28 12.79 13.12 13.34
18.2 11.11 10.79 11.48 12.58 13.65
14.5 12.22 12.06 12.59 11.24 12.22

Fig.9

Comparison of yarn diameters"

Tab.2

Comparisons of yarn evenness CV value"

纱线线
密度/tex		 纱线条干CV值/%
条干仪 本文
算法		 灰度
投影		 FCM Otsu
27.8 12.60 13.29 13.64 14.91 15.76
18.2 11.11 11.98 12.57 13.16 13.79
14.5 12.22 13.09 13.06 13.79 15.96
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