Determination of various fabric defects using different machine learning techniques
Author:
Affiliation:
1. Computer Engineering Department, İzmir Katip Çelebi University, İzmir, Turkey
2. Computer Engineering Department, Dokuz Eylul University, Izmir, Turkey
3. Textile Engineering Department, Dokuz Eylul University, Izmir, Turkey
Publisher
Informa UK Limited
Subject
Industrial and Manufacturing Engineering,Polymers and Plastics,General Agricultural and Biological Sciences,Materials Science (miscellaneous)
Link
https://www.tandfonline.com/doi/pdf/10.1080/00405000.2023.2201978
Reference44 articles.
1. Discrete Cosine Transform
2. Textural fabric defect detection using statistical texture transformations and gradient search
3. Comparative analysis of SVM and ANN classifiers for defective and non-defective fabric images classification
4. Fault segmentation in fabric images using Gabor wavelet transform
5. Detection of defects in fabrics using information set features in comparison with deep learning approaches
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