Cross-Printing Defect Detection of Printed Fabric Using GIS and FTDT

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

Download full size

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

Download full size

Table 1. Relative offsetpixel
View table
Table 1. Relative offsetpixel
Offset Fig. 5(a2) Fig. 5 (b2) Fig. 5 (c2)
x +10.2 -9.8 -9.1
y +3.5 -8.1 +11.3

Table 2. Detection time of different methodss
View table
Table 2. Detection time of different methodss
Method Fig. 5 (a1) Fig. 5 (b1) Fig. 5 (c1)
Our method 4.642 0.799 1.920
GMM 8.256 1.571 4.012

Tools

Get Citation

Copy Citation Text

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

Download Citation

EndNote(RIS)BibTex Plain Text

Set citation alerts for article

Save article for my favorites