A Fabric Defect Segmentation Model Based on Improved Swin-Unet with Gabor Filter

A Fabric Defect Segmentation Model Based on Improved Swin-Unet with Gabor Filter

Fabric inspection is critical in fabric manufacturing. Automatic detection of fabric defects in the textile industry has always been an important research field. Previously, manual visual inspection was commonly used; however, there were drawbacks such as high labor costs, slow detection speed, and...

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Bibliographic Details
Main Authors: Haitao Xu, Chengming Liu, Shuya Duan, Liangpin Ren, Guozhen Cheng, Bing Hao
Format: Article
Language:English
Published: MDPI AG 2023-10-01
Series:Applied Sciences
Subjects:
defect detection
fabric defect segmentation
Swin UNet
neural network
Online Access:https://www.mdpi.com/2076-3417/13/20/11386

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