Detection of fabric shape retention based on image processing

被引：0
|
作者：
Tang Q. [1 ]
Wang L. [1 ]
Gao W. [1 ]
机构：
[1] Key Laboratory of Eco-Textiles, Jiangnan University, Ministry of Education, Wuxi
来源：
Fangzhi Xuebao/Journal of Textile Research | 2021年 / 42卷 / 03期
关键词：
Drape; Dynamic measurement; Fabric shape retention; Image processing; Video sequence; Wrinkle recovery;
D O I：
10.13475/j.fzxb.20200707906
中图分类号：
学科分类号：
摘要：
In order to evaluate the shape retention of a fabric comprehensively and accurately, a dynamic detection system was developed to simulate the recovery process of fabric flattening after being creased in daily uses. The video sequence of fabric crease recovery is obtained by the detection system, and the single frame video image at each time is extracted by the program, and then the image is preprocessed, binarized and refined in turn. The indexes reflecting the fabric shape retention, including angle, height and shape preserving area, are extracted. The experimental results show that in the crease recovery stage, the change rate of each index gradually decreases with time. Under the condition of pressure 10 N and pressure time 10 s, the sample tends to become stable after 60 s in recovery stage. A linear relationship exists between the angle at 60 s and the wrinkle recovery angle measured by the existing standard method, and relationships between the height, shape retention area and the drape coefficient are linear too. The results show that the system can predict the wrinkle recovery angle and drape coefficient of fabric through the three indexes of angle, height and shape retention area, and it can accurately describe the dynamic change process of fabric shape, and can be used to evaluate the fabric shapes accurately and comprehensively. © 2021, Periodical Agency of Journal of Textile Research. All right reserved.
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页码：89 / 94
页数：5
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