@Article{JFBI-7-615,
author = {Junfeng Jing, Shan Liu, Lei Zhang and Pengfei Li},
title = {Skew Detection and Yarns Density Calculation for Woven Fabric},
journal = {Journal of Fiber Bioengineering and Informatics},
year = {2014},
volume = {7},
number = {4},
pages = {615--625},
abstract = {Automatic identification of fabric structure is a vital research according to the fabric texture. Due to
the skewed phenomenon which is inevitable during the scanning process, Hough transform is utilized for
skew detection. Then wavelet filter is proposed to separate warps from wefts to enhance the information
in vertical and horizontal direction, respectively. Finally, the gray projection curve including peaks and
valleys is obtained in warp and weft directions. According to the peaks, the yarns can be located and
segmented apparently and the fabric density could be obtained. Experimental results show that the
precision of skew detection could be controlled within 2° while the accuracy of yarns density detection
can reach up to 100%, which demonstrate that the proposed method is effective in skew detection and
fabric density calculation.},
issn = {2617-8699},
doi = {https://doi.org/10.3993/jfbi12201414},
url = {http://global-sci.org/intro/article_detail/jfbi/4815.html}
}