Unsupervised Patterned Fabric Defect Detection using Texture Filtering and K-Means clustering

Faculty Engineering Year: 2017
Type of Publication: ZU Hosted Pages:
Authors:
Azhar Ahmed Hamdy Abdelsatar
Journal: ITEC 2018 IEEE conference Volume:
Keywords : Unsupervised Patterned Fabric Defect Detection using    
Abstract:
This paper introduces an unsupervised fabric defect detection algorithm that does not need any user-adaptation and reveals high detection accuracy rates at the same time. This algorithm is mainly applied to patterned fabrics and can be exte
    
     
 
       

Author Related Publications

  • Azhar Ahmed Hamdy Abdelsatar, "Performance Study For Color Filter Array Demosaicking Methods", IEEE conference, 2007 More
  • Azhar Ahmed Hamdy Abdelsatar, "Patterned Fabric Defect Detection System Using Near Infrared Imaging", IEEE conference, 2017 More
  • Azhar Ahmed Hamdy Abdelsatar, "fully automated approach for patterned fabric defect detection", Egypt-Japan university for science and technology, 2016 More
  • Azhar Ahmed Hamdy Abdelsatar, "Augmented doppler filter bank based approach for enhanced targets detection", Wydawnictwo SIGMA, 2023 More
  • Azhar Ahmed Hamdy Abdelsatar, "Performance Enhancement of Indoor Cellular Visible Light Communication through Cell Size and Wavelength Reuse Pattern", Springer Nature, 2023 More

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