Unsupervised textile defect detection using convolutional neural networks

Author:

Koulali ImaneORCID,Eskil M. Taner

Publisher

Elsevier BV

Subject

Software

Reference43 articles.

1. Textural fabric defect detection using adaptive quantized gray-level co-occurrence matrix and support vector description data;Zhigang;Inf. Technol. J.,2012

2. Fully automated approach for patterned fabric defect detection;Hamdi,2016

3. Fabric defects segmentation approach based on texture primitive;wu Zhu;2007 International Conference on Machine Learning and Cybernetics,2007

4. Fabric defect detection using morphological filters;Mak;Image Vis. Comput.,2009

5. Fabric defect detection based on multiple fractal features and support vector data description;Bu;Eng. Appl. Artif. Intell.,2009

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4. Research on the Defect Detection Algorithm of Warp-Knitted Fabrics Based on Improved YOLOv5;Fibers and Polymers;2023-06-27

5. Defect Detection in Batavia Woven Fabrics by Means of Convolutional Neural Networks;18th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2023);2023

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