Fabric Defect Detection in Industrial Applications (Q167331): Difference between revisions

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description / endescription / en
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
Automated fabric defect detection using machine vision and deep learning in industrial settings.

Revision as of 13:38, 30 August 2024

Automated fabric defect detection using machine vision and deep learning in industrial settings.
  • 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
Automated fabric defect detection using machine vision and deep learning in industrial settings.
  • 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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