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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: Ying Wu,  Ren Wang,  Lin Lou,  Lali Wang and  Jun Wang  
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, Institute of Biopolymers and Chemical Fibres
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, Institute of Biopolymers and Chemical Fibres
This work is licensed under the Creative Commons Attribution 3.0 License.

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