Cotton Fabric Defect Detection Based on K-SVD Dictionary Learning

Cotton Fabric Defect Detection Based on K-SVD Dictionary Learning

To improve the detection for different fabric types and defect kinds, an approach based on K-Singular Value Decomposition (K-SVD) dictionary learning method is designed to detect fabric defects, which remains important and challenging in the field of textile engineering. The proposed method has two...

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Bibliographic Details
Main Authors: Ying Wu, Lin Lou, Jun Wang
Format: Article
Language:English
Published: Taylor & Francis Group 2022-11-01
Series:Journal of Natural Fibers
Subjects:
defect detection
sparse coding
k-svd dictionary learning
woven fabric
threshold
texture
Online Access:http://dx.doi.org/10.1080/15440478.2021.2002767

Internet

http://dx.doi.org/10.1080/15440478.2021.2002767

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