Unsupervised fabric defect detection algorithm based on vector quantization and feature distance

Fabric defect detection is an indispensable step in textile fabric production, and many deep-learning-based methods have been proposed. However, existing supervised methods are limited by the lack of annotated datasets, and unsupervised anomaly detection methods still fail to meet the requirements o...

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Veröffentlicht in:	Textile research journal
Hauptverfasser:	Wei, Qiyu, Zhang, Lei, Zhan, Zhu, Li, Liqing, Wang, Jun
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	05.06.2025
ISSN:	0040-5175, 1746-7748
Online-Zugang:	Volltext
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