武汉大学自然科学学报(英文版)2023,Vol.28Issue(6) :508-522.DOI:10.1051/wujns/2023286508

Automated Density Measurement of Weft Knitted Fabrics Using Backlight Imaging

ZHANG Jing LIU Shuhua XIN Binjie YUAN Zhijie XU Yingqi
武汉大学自然科学学报(英文版)2023,Vol.28Issue(6) :508-522.DOI:10.1051/wujns/2023286508

Automated Density Measurement of Weft Knitted Fabrics Using Backlight Imaging

ZHANG Jing 1LIU Shuhua 2XIN Binjie 1YUAN Zhijie 1XU Yingqi1
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作者信息

  • 1. School of Textiles and Fashion,Shanghai University of Engineering Science,Shanghai 201620,China
  • 2. Office of Academic Research,Shanghai University of Engineering Science,Shanghai 201620,China
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Abstract

This paper proposes a new density measurement algorithm to address the issues of poor applicability and inaccurate results as-sociated with the automatic density measurement algorithm for weft-knitted fabrics.The algorithm involves collecting the transmitted light image of the knitted fabric,calculating the tilt angle using the skewing correction algorithm,and rotating the image to correct the weft skew present therein.The pre-rotated and post-rotated images are then projected vertically and horizontally in grayscale,and the obtained projection curves are used to represent the distribution of loops in vertical and horizontal rows.This study proposed a wave peak coordi-nate verification algorithm that calculates the coursewise densities and walewise densities of the knitted fabric.In experiments,the pro-posed density measurement method is found to exhibit an accuracy above 98%when compared with the manual mode.

Key words

knitted fabric/fabric density/loop identification/image analysis/density measurement

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基金项目

国家自然科学基金(61876106)

Shanghai Local Capacity-Building Project(19030501200)

ClassⅢ Peak Discipline of Shanghai—Materials Science and Engineering()

出版年

2023
武汉大学自然科学学报(英文版)
武汉大学

武汉大学自然科学学报(英文版)

CSTPCDCSCD
影响因子:0.066
ISSN:1007-1202
参考文献量1
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