Automatic inspection of density in yarn-dyed fabrics by utilizing fabric light transmittance and Fourier analysis.
Automatic inspection of density in yarn-dyed fabrics by utilizing fabric light transmittance and Fourier analysis.
复制标题
DOI：
10.1364/ao.54.000966
复制
发表时间：
2015-02
期刊：
影响因子：
1.9
通讯作者：
Jie Zhang;R. Pan;Weidong Gao
中科院分区：
文献类型：
--
作者：
Jie Zhang;R. Pan;Weidong Gao
纱线密度测量是色织织物分析的重要组成部分，传统上基于反射图像分析。提出了一种利用织物透光率对透射型织物图像进行二维离散傅立叶变换(2D DFT)分析的方法，用于织物密度检测。首先，通过二维DFT从织物图像中产生功率谱。然后，基于功率谱分析检测纱线的倾斜角。然后对织物图像进行逆2D离散傅立叶变换重建。最后由重建图像生成投影曲线，并根据波峰和波谷计算纱线的数量，得到织物的密度。通过对多色织物反射像和透射像的对比分析，证明后一种方法分割纱线具有较高的精度。实验和理论分析表明，该方法对色织织物密度检测具有较好的鲁棒性和较高的精度。
Yarn density measurement is a significant part of yarn-dyed fabric analysis, traditionally based on reflective image analysis. In this paper, utilizing fabric light transmittance, a method for two-dimensional discrete Fourier transform (2D DFT) analysis on the transmission fabric image is developed for fabric density inspection. First, the power spectrum is generated from the fabric image by a 2D DFT. Next, the yarn skew angles are detected based on the power spectrum analysis. Then the fabric image is reconstructed by an inverse 2D DFT. Finally, projection curves are generated from the reconstructed images and the number of yarns is counted according to the peaks and valleys to obtain the fabric density. Through a comparison between analysis on the reflective and transmission images of multiple-color fabrics, it is proved that the latter method can segment the yarns with more satisfactory accuracy. Furthermore, the experimental and theoretical analyses demonstrate that the proposed method is effective for the density inspection of yarn-dyed fabrics with good robustness and great accuracy.