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Defective and nondefective classif ication of fabric images using shallow and deep networks

  • Published:2021-12-02 Issue:3 Volume:37 Page:2293-2318
  • ISSN:0884-8173
  • Container-title:International Journal of Intelligent Systems
  • language:en
  • Short-container-title:Int J of Intelligent Sys

Author:

Elemmi Mahantesh C.1ORCID,Anami Basavaraj S.2ORCID,Malvade Naveen N.3ORCID

Affiliation:

1. Department of Computer Science and Engineering Jain College of Engineering and Research Belagavi India

2. Department of Computer Science and Engineering K.L.E. Institute of Technology Hubballi India

3. Department of Computer Science and Engineering A.T.M.E. College of Engineering Mysuru India

Publisher

Wiley

Subject

Artificial Intelligence,Human-Computer Interaction,Theoretical Computer Science,Software

Reference11 articles.

1. Automated visual inspection of fabric image using deep learning approach for defect detection;Voronin V;Automat Visual Inspect Mach Vision IV,2021

2. An Image Processing based Fault Detection in Fabrics

3. Fabric defect detection based on information entropy and frequency domain saliency;Liu G;Visual Comput,2020

4. Fabric Defect Detection Using Activation Layer Embedded Convolutional Neural Network

5. On the Use of Binary Features in a Rule-Based Approach for Defect Detection on Patterned Textiles

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