Fabric Defect Detection in Industrial Applications (Q167331)

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Revision as of 18:48, 24 June 2024 by Sky (talk | contribs) (‎Changed label, description and/or aliases in en, and other parts: removed Deep Learning from aliases; added Q169133 to addresses subject)
This cluster of papers focuses on the application of machine vision, texture analysis, and deep learning techniques for the automated detection and classification of fabric defects in industrial settings, particularly in semiconductor manufacturing
  • Fabric Defect Detection
  • Machine Vision
  • Texture Analysis
  • Semiconductor Manufacturing
  • Wafer Map Defect Classification
  • Gabor Filters
  • Automated Inspection
  • Surface Defect Detection
  • Virtual Metrology
Language Label Description Also known as
English
Fabric Defect Detection in Industrial Applications
This cluster of papers focuses on the application of machine vision, texture analysis, and deep learning techniques for the automated detection and classification of fabric defects in industrial settings, particularly in semiconductor manufacturing
  • Fabric Defect Detection
  • Machine Vision
  • Texture Analysis
  • Semiconductor Manufacturing
  • Wafer Map Defect Classification
  • Gabor Filters
  • Automated Inspection
  • Surface Defect Detection
  • Virtual Metrology

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