• Laser & Optoelectronics Progress
  • Vol. 56, Issue 13, 131005 (2019)
Huanhuan Ren, Junfeng Jing*, Huanhuan Zhang, and Zebin Su
Author Affiliations
  • School of Electronic Information, Xi'an Polytechnic University, Xi'an, Shaanxi 710048, China
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    DOI: 10.3788/LOP56.131005 Cite this Article Set citation alerts
    Huanhuan Ren, Junfeng Jing, Huanhuan Zhang, Zebin Su. Cross-Printing Defect Detection of Printed Fabric Using GIS and FTDT[J]. Laser & Optoelectronics Progress, 2019, 56(13): 131005 Copy Citation Text show less
    Flow chart of printed fabric defect detection
    Fig. 1. Flow chart of printed fabric defect detection
    Theory of golden image subtraction
    Fig. 2. Theory of golden image subtraction
    Images of printed fabrics. (a) Spot printed fabrics; (b) flower printed fabrics; (c) irregular printed fabrics
    Fig. 3. Images of printed fabrics. (a) Spot printed fabrics; (b) flower printed fabrics; (c) irregular printed fabrics
    Detection results of templates with different sizes. (a) Printed fabrics without defect; (b) printed fabrics with defect; (c) template G with size of 2 pixel×2 pixel; (d) template G with size of 5 pixel×5 pixel; (e) template G with size of 10 pixel×10 pixel; (f) template G with size of 15 pixel×15 pixel
    Fig. 4. Detection results of templates with different sizes. (a) Printed fabrics without defect; (b) printed fabrics with defect; (c) template G with size of 2 pixel×2 pixel; (d) template G with size of 5 pixel×5 pixel; (e) template G with size of 10 pixel×10 pixel; (f) template G with size of 15 pixel×15 pixel
    Defect detection results of partial printed fabrics. (a1)(b1)(c1) Referenced images of different fabric types; (a2)(b2)(c2) defective printed fabrics; (a3)(b3)(c3) detection results of GMM; (a4)(b4)(c4) detection results of our method
    Fig. 5. Defect detection results of partial printed fabrics. (a1)(b1)(c1) Referenced images of different fabric types; (a2)(b2)(c2) defective printed fabrics; (a3)(b3)(c3) detection results of GMM; (a4)(b4)(c4) detection results of our method
    OffsetFig. 5(a2)Fig. 5 (b2)Fig. 5 (c2)
    x+10.2-9.8-9.1
    y+3.5-8.1+11.3
    Table 1. Relative offsetpixel
    MethodFig. 5 (a1)Fig. 5 (b1)Fig. 5 (c1)
    Our method4.6420.7991.920
    GMM8.2561.5714.012
    Table 2. Detection time of different methodss
    Huanhuan Ren, Junfeng Jing, Huanhuan Zhang, Zebin Su. Cross-Printing Defect Detection of Printed Fabric Using GIS and FTDT[J]. Laser & Optoelectronics Progress, 2019, 56(13): 131005
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