Fabric defects identification for textile industry with a deep learning approach-Reference-Cited by-同舟云学术

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Fabric defects identification for textile industry with a deep learning approach

Published:2024-08-05 Issue: Volume: Page:1-10
ISSN:0040-5000
Container-title:The Journal of The Textile Institute
language:en
Short-container-title:The Journal of The Textile Institute

Author:

Guder Okan¹,Isik Sahin²^ORCID,Anagun Yildiray²

Affiliation:

1. Department of Computer Engineering, Tokat Gaziosmanpasa University, Engineering and Architecture Faculty, Tokat, Turkey;

2. Department of Computer Engineering, Eskisehir Osmangazi University, Engineering and Architecture Faculty, Eskisehir, Turkey

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/00405000.2024.2383799

Reference34 articles.

1. Modeling plasma surface modification of textile fabrics using artificial neural networks

2. Automated vision system for localizing structural defects in textile fabrics

3. Automated Fabric Defect Detection

4. An iterative method for Bayesian Gauss–Markov image restoration

5. Fabric material identification based on Densenet variant networks

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