首页|Investigation of fabric shape retention evaluation based on image feature extraction by crease curve fitting
Investigation of fabric shape retention evaluation based on image feature extraction by crease curve fitting
扫码查看
点击上方二维码区域，可以放大扫码查看
原文链接
NSTL
Elsevier
Evaluation of fabric shape retention is an indispensable part of fabric performance evaluation. The existing evaluation methods for investigating the wrinkle recovery, drape, stiffness of fabrics are very mature, but a comprehensive and intuitive evaluation of fabric shape retention is not achieved. Based on the previously proposed fabric shape retention testing device and image processing method, this paper proposes a method to fit fabric crease contour lines to Gaussian curves to optimize the fabric crease contour lines and describe the fabric crease shape more intuitively. The indexes, which are the vertex angle (VA), the vertex height (VH), the maximum curvature (MC), and the enclosed area (EA), can be extracted from the Gaussian curves of the stable state to characterize different shape retention properties of the fabric. By comparing the test results of the standard method, it was found that VA and MC can form a linear regression relationship with the crease recovery angle to describe the crease recovery property of the fabric. VH, MC and EA have linear regression relationships with static drape coefficient or bending length to describe the drape and stiffness of the fabric. Compared with previous studies, this article enables to inspect the fabric crease recovery process dynamically, depict the crease recovery shape visually and evaluate the fabric shape retention performance comprehensively and accurately. This paper provides an experimental basis for investigating the evaluation method of fabric shape retention performance.
NSTL
Elsevier
