Extraction of the Microstructure of Wool Fabrics Based on Structure Tensor

Autor: Jiani Zhu, Youwei Ma, Guoqing Ding, Manhua Liu, Xin Chen
Jazyk: angličtina
Rok vydání: 2023
Předmět:
Zdroj: Sensors, Vol 23, Iss 15, p 6813 (2023)
Druh dokumentu: article
ISSN: 23156813
1424-8220
DOI: 10.3390/s23156813
Popis: The trends of “fashionalization”, “personalization” and “customization” of wool fabrics have prompted the textile industry to change the original processing design based on the experience of engineers and trial production. In order to adapt to the promotion of intelligent production, the microstructure of wool fabrics is introduced into the finishing process. This article presents an automated method to extract the microstructure from the micro-CT data of woven wool fabrics. Firstly, image processing was performed on the 3D micro-CT images of the fabric. The raw grayscale data were converted into eigenvectors of the structure tensor to segment the individual yarns. These data were then used to calculate the three parameters of diameter, spacing and the path of the center points of the yarn for the microstructure. The experimental results showed that the proposed method was quite accurate and robust on woven single-ply tweed fabrics.
Databáze: Directory of Open Access Journals
Nepřihlášeným uživatelům se plný text nezobrazuje