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Local Characterisation and Detection of Woven Fabric Texture Based on a Sparse Dictionary Cover

Local Characterisation and Detection of Woven Fabric Texture Based on a Sparse Dictionary

Fibres & Textiles in Eastern Europe
Volume 30 (2022): Issue 3 (October 2022)
By: ,  ,  ,   and    
Open Access
|Sep 2022
Authors

Authors

Ying Wu

ying012688@zstu.edu.cn

Zhejiang Province Engineering Laboratory of Clothing Digital Technology, Hangzhou, P.R. China
School of Fashion Design and Engineering, Zhejiang Sci-Tech University, Hangzhou, P.R. China

Ren Wang

School of Economics and Management Zhejiang Sci-Tech University, Hangzhou, P.R. China

Lin Lou

Key Laboratory of Advanced Textile Materials and Manufacturing Technology, Zhejiang Sci-Tech University
Zhejiang Provincial Key Laboratory of Fiber Materials and Manufacturing Technology, Zhejiang Sci-Tech University

Lali Wang

School of Fashion Design and Engineering, Zhejiang Sci-Tech University, Hangzhou, P.R. China

Jun Wang

College of Textiles Donghua University, Shanghai, P.R. China
Key Laboratory of Textile Science & Technology, Ministry of Education Donghua University, Shanghai, P.R. China
DOI: https://doi.org/10.2478/ftee-2022-0020 | Journal eISSN: 2300-7354 | Journal ISSN: 1230-3666
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Language: English
Page range: 33 - 40
Published on: Sep 28, 2022
Published by: Łukasiewicz Research Network-Łódź Institute of Technology
In partnership with: Paradigm Publishing Services
Publication frequency: Volume open
Keywords:
fabric texture representation,
sparse representation,
weave repeat,
defect detection,
dictionary learning
Related subjects:
Business and economics,
Business management,
Business informatics,
Process management,
Industrial chemistry,
Cellulose, paper and textiles,
Polymer science and technology,
Materials sciences,
Biomaterials and natural materials

© 2022 Ying Wu, Ren Wang, Lin Lou, Lali Wang, Jun Wang, published by Łukasiewicz Research Network-Łódź Institute of Technology
This work is licensed under the Creative Commons Attribution 3.0 License.

Volume 30 (2022): Issue 3 (October 2022)
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