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Microfluidic Dry-spinning and Characterization of Regenerated Silk Fibroin Fibers
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Extraction of the Microstructure of Wool Fabrics Based on Structure Tensor
Jiani Zhu1, Youwei Ma2, Guoqing Ding1
1School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China.
Sensors (Basel, Switzerland)
|August 12, 2023
Summary
This study introduces an automated method to extract wool fabric microstructure from micro-CT data. This technique accurately quantifies yarn diameter, spacing, and path for intelligent textile production.
Area of Science:
- Textile Science and Engineering
- Materials Science
- Image Analysis
Background:
- The textile industry is shifting towards "fashionalization", "personalization", and "customization" of wool fabrics.
- Traditional processing relies on empirical methods, necessitating a move towards intelligent production.
- Integrating fabric microstructure analysis into finishing processes is crucial for adapting to these trends.
Purpose of the Study:
- To develop an automated method for extracting the microstructure of woven wool fabrics.
- To enable the quantitative analysis of fabric microstructure for improved processing.
- To support the integration of microstructure data into intelligent textile manufacturing.
Main Methods:
- Utilized 3D micro-computed tomography (micro-CT) data of woven wool fabrics.
- Applied image processing techniques, converting raw grayscale data into structure tensor eigenvectors.
- Segmented individual yarns and calculated key microstructural parameters: diameter, spacing, and center point path.
Main Results:
- Successfully segmented individual yarns from the 3D micro-CT data.
- Accurately calculated the diameter, spacing, and center point path of yarns.
- Demonstrated the method's high accuracy and robustness on woven single-ply tweed fabrics.
Conclusions:
- The proposed automated method effectively extracts wool fabric microstructure.
- This technique provides essential quantitative data for intelligent textile finishing.
- The findings support the adaptation of the textile industry to modern customization demands.
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