A universal and adaptive fabric defect detection algorithm based on sparse dictionary learning

HIGHLIGHTS

• who: . and collaborators from the School of Mechanical and Precision Instrument Engineering, Xi`an University of Technology, Xi`an, China have published the research work: A Universal and Adaptive Fabric Defect Detection Algorithm Based on Sparse Dictionary Learning, in the Journal: (JOURNAL)
• what: To solve this problem the authors propose and dictionary learning for detecting various defects of different texture. In the experiment, TILDA[24][28] fabric sample database is used to test the proposed algorithm. Among them, star-patterned and box-patterned fabrics contain five kinds of Patterned fabric Defect types However, for some . . .
  

   

  

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