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A visual attention system based anisotropic diffusion method for an effective textile defect detection

  • Published:2020-12-02 Issue:12 Volume:112 Page:1925-1939
  • ISSN:0040-5000
  • Container-title:The Journal of The Textile Institute
  • language:en
  • Short-container-title:The Journal of The Textile Institute

Author:

Ben Gharsallah Mohamed1,Ben Braiek Ezzedine1

Affiliation:

1. Research CEREP Unit, National Higher School of Engineering of Tunis (ENSIT), Tunis, Tunisia

Publisher

Informa UK Limited

Subject

Industrial and Manufacturing Engineering,Polymers and Plastics,General Agricultural and Biological Sciences,Materials Science (miscellaneous)

Cited by 9 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. YOLOv8-Based Small Object Detection Method for Warp Yarn Defects;2024 IEEE International Conference on Real-time Computing and Robotics (RCAR);2024-06-24

2. Image retrieval of colored spun fabrics based on decoupled feature;International Conference on Computer Graphics, Artificial Intelligence, and Data Processing (ICCAID 2023);2024-03-27

3. A real-time and accurate convolutional neural network for fabric defect detection;Complex & Intelligent Systems;2024-02-02

4. Automatic fabric defect detection in textile images using a labview based multiclass classification approach;Multimedia Tools and Applications;2024-01-19

5. Broken stitch detection method for sewing operation using CNN feature map and image processing technique .;AURUM Journal of Engineering Systems and Architecture;2023-10-27
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