[1]YANG Da,DI Lan,ZHAO Shuzhi,et al.Fabric defect detection based on structural similarity and template correction[J].CAAI Transactions on Intelligent Systems,2020,15(3):475-483.[doi:10.11992/tis.201810011]
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Fabric defect detection based on structural similarity and template correction
CAAI Transactions on Intelligent Systems[ISSN 1673-4785/CN 23-1538/TP] Volume:
15
Number of periods:
2020 3
Page number:
475-483
Column:
学术论文—智能系统
Public date:
2020-05-05
- Title:
- Fabric defect detection based on structural similarity and template correction
- Keywords:
- structural similarity; periodic; template correction; unit template; automatic segmentation; similarity relationship; threshold segementation; defect inspection
- CLC:
- TS131.9;TP18
- DOI:
- 10.11992/tis.201810011
- Abstract:
- Focusing on the detection of defects in textiles with complex periodic patterns, a fabric defect detection method based on structural similarity and template correction is proposed. The unit template size of the pattern is obtained according to the periodicity of the pattern texture. Then, the image is divided adaptively. At the same time, template correction is applied to reduce the effect of misalignment between grids. In addition, an average template is established. The structural similarity between all the lattices is calculated, and such similarity is observed in the pattern of the closure packet and used to obtain the equivalence relation. Then, the clustering between all the lattices is performed. Furthermore, the detection of the defect region is completed using the proposed threshold segmentation method. Experiments show that the proposed algorithm has better detection effect than other algorithms and significantly improves the precision ratio of the sample.
- References:
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