Anomaly detection in textured images with a convolutional neural network for quality control of micrometric woven meshes

HIGHLIGHTS

• who: Pierre-Frédéric Villard from the Université Lorraine CNRS Inria LORIA, Nancy, France Technical University of Cluj-Napoca, Cluj-Napoca, Romania have published the research: Anomaly Detection in Textured Images with a Convolutional Neural Network for Quality Control of Micrometric Woven Meshes, in the Journal: (JOURNAL)
• what: The aim of this work is defect detection in industrial fabrics in the quality control stage. To overcome the limitations of manual methods which are often tedious and time-consuming the authors propose a strategy that can automatically detect defects in micrometric steel meshes by means . . .
  

   

  

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