fully automated approach for patterned fabric defect detection

Faculty Engineering Year: 2016
Type of Publication: ZU Hosted Pages:
Authors:
Azhar Ahmed Hamdy Abdelsatar
Journal: 2016 Fourth International Japan-Egypt Conference on Electronics, Communications and Computers (JEC-ECC) Egypt-Japan university for science and technology Volume:
Keywords : fully automated approach , patterned fabric defect    
Abstract:
this paper introduces a fully automated approach for defect detection in patterned fabrics. First, the fabric pattern period is determined by calculating the image mean vectors in both horizontal and vertical directions. Second, Gray Level
   
     
 
       

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  • Azhar Ahmed Hamdy Abdelsatar, "Performance Study For Color Filter Array Demosaicking Methods", IEEE conference, 2007 More
  • Azhar Ahmed Hamdy Abdelsatar, "Unsupervised Patterned Fabric Defect Detection using Texture Filtering and K-Means clustering", IEEE conference, 2017 More
  • Azhar Ahmed Hamdy Abdelsatar, "Patterned Fabric Defect Detection System Using Near Infrared Imaging", IEEE conference, 2017 More
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