Yarn-dyed fabric defect detection based on an improved autoencoder with Fourier convolution

Compared with solid-colored fabrics, the textures in yarn-dyed fabric images are more complex, making the task of defect detection more challenging. To achieve efficient detection, this study proposes an automatic detection framework for dyed fabric defects. The proposed framework consists of a hard...

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Vydané v:	Textile research journal Ročník 93; číslo 5-6; s. 1153 - 1165
Hlavní autori:	Xiang, Jun, Pan, Ruru, Gao, Weidong
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	London, England SAGE Publications 01.03.2023 Sage Publications Ltd
Predmet:	Ablation Algorithms Convolution Defects Fabrics Image acquisition Image quality Light sources Training convolution autoencoder yarn-dyed fabric Fourier convolution Defect detection unsupervised learning
ISSN:	0040-5175, 1746-7748
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