Journal of Textile Research ›› 2020, Vol. 41 ›› Issue (02): 44-51.doi: 10.13475/j.fzxb.20190401708

• Textile Engineering • Previous Articles     Next Articles

Defect detection on surface of draw texturing yarn packages in gradient space

JING Junfeng(), ZHANG Junyang, ZHANG Huanhuan, SU Zebin   

  1. School of Electronics and Information, Xi'an Polytechnic University, Xi'an, Shaanxi 710048, China
  • Received:2019-04-04 Revised:2019-10-19 Online:2020-02-15 Published:2020-02-21

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Abstract:

A method based on the difference of image information entropy and energy distribution in gradient space was proposed to solve the low efficiency and high missing rate of manual defect detection on the surface of DTY (draw texturing yarn) packages in industrial production. Firstly, the image acquisition device based on machine vision was designed to acquire the surface image of DTY packages during transmission. Then, the image of DTY packages was transformed into gradient space domain, and a combination feature of information entropy and energy was constructed to characterize the defect. Appropriate threshold was selected to distinguish the defect area from the normal area. Finally, the final detection result was obtained by morphological processing. The experimental results show that the method has a good detection effect for the defects such as stain, indentation and hairiness on the surface of DTY packages. The accuracy of defect recognition method is high and the speed is fast, which meets the requirements of the factory for accuracy and real-time detection, and realizes the automatic detection of defects on the surface of the DTY packages.

Key words: machine vision, DTY packages, defect detection, gradient space, image information entropy

CLC Number: 

  • TP391.4

Fig.1

Image acquisition device for DTY packages"

Fig.2

Flow chart for surface defect detection of DTY packages"

Fig.3

Upper surface original images of DTY packages. (a)Normal DTY packages;(b)Combination of defects; (c)Stain;(d)Indentation;(e)Hairiness"

Fig.4

Effect of image preprocessing"

Fig.5

Processing effect of DTY packages image. (a)Edge detection;(b)Region of interest extraction; (c) Expansion map of polar coordinate transformation; (d) Image in gradient space"

Tab.1

Distribution of image information entropy of DTY packages"

编号 列1 列2 列3 列4 列5 列6 列7 列8 列9 列10
行1 5.240 8 5.202 1 5.286 6 5.246 1 5.260 7 5.277 8 5.283 1 5.286 3 5.118 9 5.299 5
行2 4.232 7 4.325 3 4.313 7 4.264 1 4.230 9 4.304 8 4.257 5 4.285 5 4.334 8 4.234 5
行3 3.903 7 4.032 1 4.195 2 4.350 3 4.231 7 4.348 7 4.259 6 4.268 3 4.277 2 4.273 2
行4 3.815 1 4.064 2 4.294 8 4.250 4 4.288 7 4.172 6 4.285 8 4.370 3 4.392 8 6.483 0
行5 3.954 9 4.179 4 4.352 3 4.338 0 3.914 6 3.983 5 4.130 2 3.946 0 4.250 5 6.522 3
行6 3.976 0 3.924 2 4.198 3 6.731 2 4.336 8 4.217 5 3.981 6 4.145 0 4.283 8 6.926 1
行7 3.866 7 3.840 3 3.921 4 3.886 9 3.962 8 6.301 5 7.156 9 3.719 1 4.280 8 6.536 8
行8 4.022 5 4.075 9 3.806 8 3.914 6 3.943 2 7.855 4 7.228 3 3.274 4 3.925 9 3.949 7
行9 4.200 1 4.261 3 4.223 6 3.928 6 4.103 4 3.977 4 3.970 5 3.967 1 7.301 8 3.842 3
行10 4.290 7 4.306 9 4.280 2 4.237 3 4.323 3 3.861 0 3.794 4 3.997 1 8.343 2 4.321 4

Fig.6

Energy diagram of DTY packages"

Fig.7

Detection result of DTY packages defects"

Tab.2

Statistics of defect detection results of DTY packages"

指标 正常无
缺陷		 异常有缺陷 合计
污渍 压痕 起毛 组合缺陷
数量/个 300 500 500 500 200 2 000
正确检测数/个 300 498 487 493 199 1 977
漏检数目/个 0 2 13 7 1 23
检测准确率/% 98.85
检测漏检率/% 1.35
检测时间/ms 87.00

Tab.3

Comparison of experimental results"

检测方法 检测准确率/% 检测漏检率/% 检测时间/ms
Gabor滤波法 98.00 2.18 1 036
显著性检测法 90.15 9.24 2 153
迟滞阈值法 96.40 4.06 248
自编码器 96.00 4.18 142
本文方法 98.85 1.35 87

Fig.8

Enlarged images and comparison of result of defective region for DTY packages. (a)Manual labeling image;(b)Detection result for proposed method;(c)Comparison of results;(d) Detection result for Gabor filter;(e)Comparison of results 1;(f) Detection result for saliency;(g)Comparison of results 2;(h)Detection result for hysteresis thresholding segmentation;(i)Comparison of results 3;(j)Detection result for autoencoder;(k)Comparison of results 4"

Tab.4

Comparison of accurate evaluation results"

检测方法 RD RTD 精确
率/%		 召回
率/%		 调和平
均数/%
Gabor滤波法 54 020 38 790 71.81 67.68 69.68
显著性检测法 32 509 27 394 84.27 47.80 61.00
迟滞阈值法 47 377 44 139 93.17 77.02 84.33
自编码器 50 257 46 783 93.09 81.63 86.98
本文方法 56 238 55 362 98.44 96.60 97.51
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