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

• Autorzy: Wu Ying , Wang Ren , Lou Lin , Wang Lali , Wang Jun

Identyfikatory

DOI

10.2478/ftee-2022-0020

• Języki publikacji: EN

Abstrakty

EN

To achieve enhanced accuracy of fabric representation and defect detection, an innovative approach using a sparse dictionary with small patches was used for fabric texture characterisation. The effectiveness of the algorithm proposed was tested through comprehensive characterisation by studying eight weave patterns: plain, twill, weft satin, warp satin, basket, honeycomb, compound twill, and diamond twill and detecting fabric defects. Firstly, the main parameters such as dictionary size, patch size, and cardinality T were optimised, and then 40 defect-free fabric samples were characterised by the algorithm proposed. Subsequently, the Impact of the weave pattern was investigated based on the representation result and texture structure. Finally, defective fabrics were detected. The algorithm proposed is an alternative simple and scalable method to characterise fabric texture and detect textile defects in a single step without extracting features or prior information.

Słowa kluczowe

EN

fabric texture representation; sparse representation; weave repeat; defect detection; dictionary learning

• Wydawca: Sieć Badawcza Łukasiewicz - Łódzki Instytut Technologiczny
• Czasopismo: Fibres & Textiles in Eastern Europe
• Rocznik: 2022
• Tom: Vol. 30, no. 3
• Strony: 33--40
• Opis fizyczny: Bibliogr. 15 poz., rys., tab.

Twórcy

autor

Wu Ying

• Zhejiang Province Engineering Laboratory of Clothing Digital Technology, Hangzhou, Zhejiang, P.R. China
• School of Fashion Design and Engineering, Zhejiang Sci-Tech University, Hangzhou, 310018, P.R. China

• https://orcid.org/0000-0001-6581-9816

autor

Wang Ren

• School of Economics and Management Zhejiang Sci-Tech University, Hangzhou, Zhejiang 310018, P.R. China

autor

Lou Lin

• Key Laboratory of Advanced Textile Materials and Manufacturing Technology (Zhejiang Sci-Tech University), Ministry of Education
• Zhejiang Provincial Key Laboratory of Fiber Materials and Manufacturing Technology, Zhejiang Sci-Tech University

• https://orcid.org/0000-0003-4856-9944

autor

Wang Lali

• School of Fashion Design and Engineering, Zhejiang Sci-Tech University, Hangzhou, 310018, P.R. China

autor

Wang Jun

• College of Textiles Donghua University, Shanghai, 201620, P.R. China
• Key Laboratory of Textile Science & Technology, Ministry of Education Donghua University, Shanghai, 201620, P.R. China

• https://orcid.org/0000-0002-5655-6070

Bibliografia

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